awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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Table of Contents / Books

Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville (05/07/2015)
Neural Networks and Deep Learning by Michael Nielsen (Dec 2014)
Deep Learning by Microsoft Research (2013)
Deep Learning Tutorial by LISA lab, University of Montreal (Jan 6 2015)
neuraltalk 5,404 almost 4 years ago by Andrej Karpathy : numpy-based RNN/LSTM implementation
An introduction to genetic algorithms
Artificial Intelligence: A Modern Approach
Deep Learning in Neural Networks: An Overview
Artificial intelligence and machine learning: Topic wise explanation
Grokking Deep Learning for Computer Vision
Dive into Deep Learning numpy based interactive Deep Learning book
Practical Deep Learning for Cloud, Mobile, and Edge A book for optimization techniques during production
Math and Architectures of Deep Learning by Krishnendu Chaudhury
TensorFlow 2.0 in Action by Thushan Ganegedara
Deep Learning for Natural Language Processing by Stephan Raaijmakers
Deep Learning Patterns and Practices by Andrew Ferlitsch
Inside Deep Learning by Edward Raff
Deep Learning with Python, Second Edition by François Chollet
Evolutionary Deep Learning by Micheal Lanham
Engineering Deep Learning Platforms by Chi Wang and Donald Szeto
Deep Learning with R, Second Edition by François Chollet with Tomasz Kalinowski and J. J. Allaire
Regularization in Deep Learning by Liu Peng
Jax in Action by Grigory Sapunov
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron | Oct 15, 2019

Table of Contents / Courses

Machine Learning - Stanford by Andrew Ng in Coursera (2010-2014)
Machine Learning - Caltech by Yaser Abu-Mostafa (2012-2014)
Machine Learning - Carnegie Mellon by Tom Mitchell (Spring 2011)
Neural Networks for Machine Learning by Geoffrey Hinton in Coursera (2012)
Neural networks class by Hugo Larochelle from Université de Sherbrooke (2013)
Deep Learning Course by CILVR lab @ NYU (2014)
A.I - Berkeley by Dan Klein and Pieter Abbeel (2013)
A.I - MIT by Patrick Henry Winston (2010)
Vision and learning - computers and brains by Shimon Ullman, Tomaso Poggio, Ethan Meyers @ MIT (2013)
Convolutional Neural Networks for Visual Recognition - Stanford by Fei-Fei Li, Andrej Karpathy (2017)
Deep Learning for Natural Language Processing - Stanford
Neural Networks - usherbrooke
Machine Learning - Oxford (2014-2015)
Deep Learning - Nvidia (2015)
Graduate Summer School: Deep Learning, Feature Learning by Geoffrey Hinton, Yoshua Bengio, Yann LeCun, Andrew Ng, Nando de Freitas and several others @ IPAM, UCLA (2012)
Deep Learning - Udacity/Google by Vincent Vanhoucke and Arpan Chakraborty (2016)
Deep Learning - UWaterloo by Prof. Ali Ghodsi at University of Waterloo (2015)
Statistical Machine Learning - CMU by Prof. Larry Wasserman
Deep Learning Course by Yann LeCun (2016)
Designing, Visualizing and Understanding Deep Neural Networks-UC Berkeley
UVA Deep Learning Course MSc in Artificial Intelligence for the University of Amsterdam
MIT 6.S094: Deep Learning for Self-Driving Cars
MIT 6.S191: Introduction to Deep Learning
Berkeley CS 294: Deep Reinforcement Learning
Keras in Motion video course
Practical Deep Learning For Coders by Jeremy Howard - Fast.ai
Introduction to Deep Learning by Prof. Bhiksha Raj (2017)
AI for Everyone by Andrew Ng (2019)
MIT Intro to Deep Learning 7 day bootcamp A seven day bootcamp designed in MIT to introduce deep learning methods and applications (2019)
Deep Blueberry: Deep Learning A free five-weekend plan to self-learners to learn the basics of deep-learning architectures like CNNs, LSTMs, RNNs, VAEs, GANs, DQN, A3C and more (2019)
Spinning Up in Deep Reinforcement Learning A free deep reinforcement learning course by OpenAI (2019)
Deep Learning Specialization - Coursera Breaking into AI with the best course from Andrew NG
Deep Learning - UC Berkeley | STAT-157 by Alex Smola and Mu Li (2019)
Machine Learning for Mere Mortals video course by Nick Chase
Machine Learning Crash Course with TensorFlow APIs -Google AI
Deep Learning from the Foundations Jeremy Howard - Fast.ai
Deep Reinforcement Learning (nanodegree) - Udacity a 3-6 month Udacity nanodegree, spanning multiple courses (2018)
Grokking Deep Learning in Motion by Beau Carnes (2018)
Face Detection with Computer Vision and Deep Learning by Hakan Cebeci
Deep Learning Online Course list at Classpert List of Deep Learning online courses (some are free) from Classpert Online Course Search
AWS Machine Learning Machine Learning and Deep Learning Courses from Amazon's Machine Learning university
Intro to Deep Learning with PyTorch A great introductory course on Deep Learning by Udacity and Facebook AI
Deep Learning by Kaggle Kaggle's free course on Deep Learning
Yann LeCun’s Deep Learning Course at CDS DS-GA 1008 · SPRING 2021
Neural Networks and Deep Learning COMP9444 19T3
Deep Learning A.I.Shelf

Table of Contents / Videos and Lectures

How To Create A Mind By Ray Kurzweil
Deep Learning, Self-Taught Learning and Unsupervised Feature Learning By Andrew Ng
Recent Developments in Deep Learning By Geoff Hinton
The Unreasonable Effectiveness of Deep Learning by Yann LeCun
Deep Learning of Representations by Yoshua bengio
Principles of Hierarchical Temporal Memory by Jeff Hawkins
Machine Learning Discussion Group - Deep Learning w/ Stanford AI Lab by Adam Coates
Making Sense of the World with Deep Learning By Adam Coates
Demystifying Unsupervised Feature Learning By Adam Coates
Visual Perception with Deep Learning By Yann LeCun
The Next Generation of Neural Networks By Geoffrey Hinton at GoogleTechTalks
The wonderful and terrifying implications of computers that can learn By Jeremy Howard at TEDxBrussels
Unsupervised Deep Learning - Stanford by Andrew Ng in Stanford (2011)
Natural Language Processing By Chris Manning in Stanford
A beginners Guide to Deep Neural Networks By Natalie Hammel and Lorraine Yurshansky
Deep Learning: Intelligence from Big Data by Steve Jurvetson (and panel) at VLAB in Stanford
Introduction to Artificial Neural Networks and Deep Learning by Leo Isikdogan at Motorola Mobility HQ
NIPS 2016 lecture and workshop videos NIPS 2016
Deep Learning Crash Course : a series of mini-lectures by Leo Isikdogan on YouTube (2018)
Deep Learning Crash Course By Oliver Zeigermann
Deep Learning with R in Motion : a live video course that teaches how to apply deep learning to text and images using the powerful Keras library and its R language interface
Medical Imaging with Deep Learning Tutorial : This tutorial is styled as a graduate lecture about medical imaging with deep learning. This will cover the background of popular medical image domains (chest X-ray and histology) as well as methods to tackle multi-modality/view, segmentation, and counting tasks
Deepmind x UCL Deeplearning : 2020 version
Deepmind x UCL Reinforcement Learning : Deep Reinforcement Learning
CMU 11-785 Intro to Deep learning Spring 2020 Course: 11-785, Intro to Deep Learning by Bhiksha Raj
Machine Learning CS 229 : End part focuses on deep learning By Andrew Ng
What is Neural Structured Learning by Andrew Ferlitsch
Deep Learning Design Patterns by Andrew Ferlitsch
Architecture of a Modern CNN: the design pattern approach by Andrew Ferlitsch
Metaparameters in a CNN by Andrew Ferlitsch
Multi-task CNN: a real-world example by Andrew Ferlitsch
A friendly introduction to deep reinforcement learning by Luis Serrano
What are GANs and how do they work? by Edward Raff
Coding a basic WGAN in PyTorch by Edward Raff
Training a Reinforcement Learning Agent by Miguel Morales
Understand what is Deep Learning

Table of Contents / Papers

ImageNet Classification with Deep Convolutional Neural Networks
Using Very Deep Autoencoders for Content Based Image Retrieval
Learning Deep Architectures for AI
CMU’s list of papers
Neural Networks for Named Entity Recognition
Training tricks by YB
Geoff Hinton's reading list (all papers)
Supervised Sequence Labelling with Recurrent Neural Networks
Statistical Language Models based on Neural Networks
Training Recurrent Neural Networks
Recursive Deep Learning for Natural Language Processing and Computer Vision
Bi-directional RNN
LSTM
GRU - Gated Recurrent Unit
GFRNN
LSTM: A Search Space Odyssey
A Critical Review of Recurrent Neural Networks for Sequence Learning
Visualizing and Understanding Recurrent Networks
Wojciech Zaremba, Ilya Sutskever, An Empirical Exploration of Recurrent Network Architectures
Recurrent Neural Network based Language Model
Extensions of Recurrent Neural Network Language Model
Recurrent Neural Network based Language Modeling in Meeting Recognition
Deep Neural Networks for Acoustic Modeling in Speech Recognition
Speech Recognition with Deep Recurrent Neural Networks
Reinforcement Learning Neural Turing Machines
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Google - Sequence to Sequence Learning with Neural Networks
Memory Networks
Policy Learning with Continuous Memory States for Partially Observed Robotic Control
Microsoft - Jointly Modeling Embedding and Translation to Bridge Video and Language
Neural Turing Machines
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Mastering the Game of Go with Deep Neural Networks and Tree Search
Batch Normalization
Residual Learning
Image-to-Image Translation with Conditional Adversarial Networks
Berkeley AI Research (BAIR) Laboratory
MobileNets by Google
Cross Audio-Visual Recognition in the Wild Using Deep Learning
Dynamic Routing Between Capsules
Matrix Capsules With Em Routing
Efficient BackProp
Generative Adversarial Nets
Fast R-CNN
FaceNet: A Unified Embedding for Face Recognition and Clustering
Siamese Neural Networks for One-shot Image Recognition
Unsupervised Translation of Programming Languages
Matching Networks for One Shot Learning
VOLO: Vision Outlooker for Visual Recognition
ViT: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
DeepFaceDrawing: Deep Generation of Face Images from Sketches

Table of Contents / Tutorials

UFLDL Tutorial 1
UFLDL Tutorial 2
Deep Learning for NLP (without Magic)
A Deep Learning Tutorial: From Perceptrons to Deep Networks
Deep Learning from the Bottom up
Theano Tutorial
Neural Networks for Matlab
Using convolutional neural nets to detect facial keypoints tutorial
Torch7 Tutorials 130 almost 8 years ago
The Best Machine Learning Tutorials On The Web 465 over 13 years ago
VGG Convolutional Neural Networks Practical
TensorFlow tutorials 6,000 about 1 year ago
More TensorFlow tutorials 5,640 almost 3 years ago
TensorFlow Python Notebooks 43,376 2 months ago
Keras and Lasagne Deep Learning Tutorials 424 about 4 years ago
Classification on raw time series in TensorFlow with a LSTM RNN 3,332 almost 2 years ago
Using convolutional neural nets to detect facial keypoints tutorial
TensorFlow-World 4,523 almost 4 years ago
Deep Learning with Python
Grokking Deep Learning
Deep Learning for Search
Keras Tutorial: Content Based Image Retrieval Using a Convolutional Denoising Autoencoder
Pytorch Tutorial by Yunjey Choi 29,893 about 1 year ago
Understanding deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras
Overview and benchmark of traditional and deep learning models in text classification
Hardware for AI: Understanding computer hardware & build your own computer 8 over 2 years ago
Programming Community Curated Resources
The Illustrated Self-Supervised Learning
Visual Paper Summary: ALBERT (A Lite BERT)
Semi-Supervised Deep Learning with GANs for Melanoma Detection
Named Entity Recognition using Reformers
Deep N-Gram Models on Shakespeare’s works
Wide Residual Networks
Fashion MNIST using Flax
Fake News Classification (with streamlit deployment)
Regression Analysis for Primary Biliary Cirrhosis
Cross Matching Methods for Astronomical Catalogs
Named Entity Recognition using BiDirectional LSTMs
Image Recognition App using Tflite and Flutter

Researchers

Aaron Courville
Abdel-rahman Mohamed
Adam Coates
Alex Acero
Alex Krizhevsky
Alexander Ilin
Amos Storkey
Andrej Karpathy
Andrew M. Saxe
Andrew Ng
Andrew W. Senior
Andriy Mnih
Ayse Naz Erkan
Benjamin Schrauwen
Bernardete Ribeiro
Bo David Chen
Boureau Y-Lan
Brian Kingsbury
Christopher Manning
Clement Farabet
Dan Claudiu Cireșan
David Reichert
Derek Rose
Dong Yu
Drausin Wulsin
Erik M. Schmidt
Eugenio Culurciello
Frank Seide
Galen Andrew
Geoffrey Hinton
George Dahl
Graham Taylor
Grégoire Montavon
Guido Francisco Montúfar
Guillaume Desjardins
Hannes Schulz
Hélène Paugam-Moisy
Honglak Lee
Hugo Larochelle
Ilya Sutskever
Itamar Arel
James Martens
Jason Morton
Jason Weston
Jeff Dean
Jiquan Mgiam
Joseph Turian
Joshua Matthew Susskind
Jürgen Schmidhuber
Justin A. Blanco
Koray Kavukcuoglu
KyungHyun Cho
Li Deng
Lucas Theis
Ludovic Arnold
Marc'Aurelio Ranzato
Martin Längkvist
Misha Denil
Mohammad Norouzi
Nando de Freitas
Navdeep Jaitly
Nicolas Le Roux
Nitish Srivastava
Noel Lopes
Oriol Vinyals
Pascal Vincent
Patrick Nguyen
Pedro Domingos
Peggy Series
Pierre Sermanet
Piotr Mirowski
Quoc V. Le
Reinhold Scherer
Richard Socher
Rob Fergus
Robert Coop
Robert Gens
Roger Grosse
Ronan Collobert
Ruslan Salakhutdinov
Sebastian Gerwinn
Stéphane Mallat
Sven Behnke
Tapani Raiko
Tara Sainath
Tijmen Tieleman
Tom Karnowski
Tomáš Mikolov
Ueli Meier
Vincent Vanhoucke
Volodymyr Mnih
Yann LeCun
Yichuan Tang
Yoshua Bengio
Yotaro Kubo
Youzhi (Will) Zou
Fei-Fei Li
Ian Goodfellow
Robert Laganière
Merve Ayyüce Kızrak

Researchers / Websites

deeplearning.net
deeplearning.stanford.edu
nlp.stanford.edu
ai-junkie.com
cs.brown.edu/research/ai
eecs.umich.edu/ai
cs.utexas.edu/users/ai-lab
cs.washington.edu/research/ai
aiai.ed.ac.uk
www-aig.jpl.nasa.gov
csail.mit.edu
cgi.cse.unsw.edu.au/~aishare
cs.rochester.edu/research/ai
ai.sri.com
isi.edu/AI/isd.htm
nrl.navy.mil/itd/aic
hips.seas.harvard.edu
AI Weekly
stat.ucla.edu
deeplearning.cs.toronto.edu
jeffdonahue.com/lrcn/
visualqa.org
www.mpi-inf.mpg.de/departments/computer-vision...
Deep Learning News
Machine Learning is Fun! Adam Geitgey's Blog
Guide to Machine Learning
Deep Learning for Beginners
Machine Learning Mastery blog
ML Compiled
Programming Community Curated Resources
A Beginner's Guide To Understanding Convolutional Neural Networks
ahmedbesbes.com
amitness.com
AI Summer
AI Hub - supported by AAAI, NeurIPS
CatalyzeX: Machine Learning Hub for Builders and Makers
The Epic Code
all AI news

Researchers / Datasets

MNIST Handwritten digits
Google House Numbers from street view
CIFAR-10 and CIFAR-100
IMAGENET
Tiny Images 80 Million tiny images6
Flickr Data 100 Million Yahoo dataset
Berkeley Segmentation Dataset 500
UC Irvine Machine Learning Repository
Flickr 8k
Flickr 30k
Microsoft COCO
VQA
Image QA
AT&T Laboratories Cambridge face database
AVHRR Pathfinder
Air Freight The Air Freight data set is a ray-traced image sequence along with ground truth segmentation based on textural characteristics. (455 images + GT, each 160x120 pixels). (Formats: PNG)
Amsterdam Library of Object Images ALOI is a color image collection of one-thousand small objects, recorded for scientific purposes. In order to capture the sensory variation in object recordings, we systematically varied viewing angle, illumination angle, and illumination color for each object, and additionally captured wide-baseline stereo images. We recorded over a hundred images of each object, yielding a total of 110,250 images for the collection. (Formats: png)
Annotated face, hand, cardiac & meat images Most images & annotations are supplemented by various ASM/AAM analyses using the AAM-API. (Formats: bmp,asf)
Image Analysis and Computer Graphics
Brown University Stimuli A variety of datasets including geons, objects, and "greebles". Good for testing recognition algorithms. (Formats: pict)
CAVIAR video sequences of mall and public space behavior 90K video frames in 90 sequences of various human activities, with XML ground truth of detection and behavior classification (Formats: MPEG2 & JPEG)
Machine Vision Unit
CCITT Fax standard images 8 images (Formats: gif)
CMU CIL's Stereo Data with Ground Truth 3 sets of 11 images, including color tiff images with spectroradiometry (Formats: gif, tiff)
CMU PIE Database A database of 41,368 face images of 68 people captured under 13 poses, 43 illuminations conditions, and with 4 different expressions
CMU VASC Image Database Images, sequences, stereo pairs (thousands of images) (Formats: Sun Rasterimage)
Caltech Image Database about 20 images - mostly top-down views of small objects and toys. (Formats: GIF)
Columbia-Utrecht Reflectance and Texture Database Texture and reflectance measurements for over 60 samples of 3D texture, observed with over 200 different combinations of viewing and illumination directions. (Formats: bmp)
Computational Colour Constancy Data A dataset oriented towards computational color constancy, but useful for computer vision in general. It includes synthetic data, camera sensor data, and over 700 images. (Formats: tiff)
Computational Vision Lab
Content-based image retrieval database 11 sets of color images for testing algorithms for content-based retrieval. Most sets have a description file with names of objects in each image. (Formats: jpg)
Efficient Content-based Retrieval Group
Densely Sampled View Spheres Densely sampled view spheres - upper half of the view sphere of two toy objects with 2500 images each. (Formats: tiff)
Computer Science VII (Graphical Systems)
Digital Embryos Digital embryos are novel objects which may be used to develop and test object recognition systems. They have an organic appearance. (Formats: various formats are available on request)
Univerity of Minnesota Vision Lab
El Salvador Atlas of Gastrointestinal VideoEndoscopy Images and Videos of his-res of studies taken from Gastrointestinal Video endoscopy. (Formats: jpg, mpg, gif)
FG-NET Facial Aging Database Database contains 1002 face images showing subjects at different ages. (Formats: jpg)
FVC2000 Fingerprint Databases FVC2000 is the First International Competition for Fingerprint Verification Algorithms. Four fingerprint databases constitute the FVC2000 benchmark (3520 fingerprints in all)
Biometric Systems Lab University of Bologna
Face and Gesture images and image sequences Several image datasets of faces and gestures that are ground truth annotated for benchmarking
German Fingerspelling Database The database contains 35 gestures and consists of 1400 image sequences that contain gestures of 20 different persons recorded under non-uniform daylight lighting conditions. (Formats: mpg,jpg)
Language Processing and Pattern Recognition
Groningen Natural Image Database 4000+ 1536x1024 (16 bit) calibrated outdoor images (Formats: homebrew)
ICG Testhouse sequence 2 turntable sequences from different viewing heights, 36 images each, resolution 1000x750, color (Formats: PPM)
Institute of Computer Graphics and Vision
IEN Image Library 1000+ images, mostly outdoor sequences (Formats: raw, ppm)
INRIA's Syntim images database 15 color image of simple objects (Formats: gif)
INRIA
INRIA's Syntim stereo databases 34 calibrated color stereo pairs (Formats: gif)
Image Analysis Laboratory Images obtained from a variety of imaging modalities -- raw CFA images, range images and a host of "medical images". (Formats: homebrew)
Image Analysis Laboratory
Image Database An image database including some textures
JAFFE Facial Expression Image Database The JAFFE database consists of 213 images of Japanese female subjects posing 6 basic facial expressions as well as a neutral pose. Ratings on emotion adjectives are also available, free of charge, for research purposes. (Formats: TIFF Grayscale images.)
ATR Research, Kyoto, Japan
JISCT Stereo Evaluation 44 image pairs. These data have been used in an evaluation of stereo analysis, as described in the April 1993 ARPA Image Understanding Workshop paper ``The JISCT Stereo Evaluation'' by R.C.Bolles, H.H.Baker, and M.J.Hannah, 263--274 (Formats: SSI)
MIT Vision Texture Image archive (100+ images) (Formats: ppm)
MIT face images and more hundreds of images (Formats: homebrew)
Machine Vision Images from the textbook by Jain, Kasturi, Schunck (20+ images) (Formats: GIF TIFF)
Mammography Image Databases 100 or more images of mammograms with ground truth. Additional images available by request, and links to several other mammography databases are provided. (Formats: homebrew)
ftp://ftp.cps.msu.edu/pub/prip many images (Formats: unknown)
Middlebury Stereo Data Sets with Ground Truth Six multi-frame stereo data sets of scenes containing planar regions. Each data set contains 9 color images and subpixel-accuracy ground-truth data. (Formats: ppm)
Middlebury Stereo Vision Research Page Middlebury College
Modis Airborne simulator, Gallery and data set High Altitude Imagery from around the world for environmental modeling in support of NASA EOS program (Formats: JPG and HDF)
NIST Fingerprint and handwriting datasets - thousands of images (Formats: unknown)
NIST Fingerprint data compressed multipart uuencoded tar file
NLM HyperDoc Visible Human Project Color, CAT and MRI image samples - over 30 images (Formats: jpeg)
National Design Repository Over 55,000 3D CAD and solid models of (mostly) mechanical/machined engineering designs. (Formats: gif,vrml,wrl,stp,sat)
Geometric & Intelligent Computing Laboratory
OSU (MSU) 3D Object Model Database several sets of 3D object models collected over several years to use in object recognition research (Formats: homebrew, vrml)
OSU (MSU/WSU) Range Image Database Hundreds of real and synthetic images (Formats: gif, homebrew)
OSU/SAMPL Database: Range Images, 3D Models, Stills, Motion Sequences Over 1000 range images, 3D object models, still images and motion sequences (Formats: gif, ppm, vrml, homebrew)
Signal Analysis and Machine Perception Laboratory
Otago Optical Flow Evaluation Sequences Synthetic and real sequences with machine-readable ground truth optical flow fields, plus tools to generate ground truth for new sequences. (Formats: ppm,tif,homebrew)
Vision Research Group
ftp://ftp.limsi.fr/pub/quenot/opflow/testdata/piv/ Real and synthetic image sequences used for testing a Particle Image Velocimetry application. These images may be used for the test of optical flow and image matching algorithms. (Formats: pgm (raw))
LIMSI-CNRS/CHM/IMM/vision
LIMSI-CNRS
Photometric 3D Surface Texture Database This is the first 3D texture database which provides both full real surface rotations and registered photometric stereo data (30 textures, 1680 images). (Formats: TIFF)
SEQUENCES FOR OPTICAL FLOW ANALYSIS (SOFA) 9 synthetic sequences designed for testing motion analysis applications, including full ground truth of motion and camera parameters. (Formats: gif)
Computer Vision Group
Sequences for Flow Based Reconstruction synthetic sequence for testing structure from motion algorithms (Formats: pgm)
Stereo Images with Ground Truth Disparity and Occlusion a small set of synthetic images of a hallway with varying amounts of noise added. Use these images to benchmark your stereo algorithm. (Formats: raw, viff (khoros), or tiff)
Stuttgart Range Image Database A collection of synthetic range images taken from high-resolution polygonal models available on the web (Formats: homebrew)
Department Image Understanding
The AR Face Database Contains over 4,000 color images corresponding to 126 people's faces (70 men and 56 women). Frontal views with variations in facial expressions, illumination, and occlusions. (Formats: RAW (RGB 24-bit))
Purdue Robot Vision Lab
The MIT-CSAIL Database of Objects and Scenes Database for testing multiclass object detection and scene recognition algorithms. Over 72,000 images with 2873 annotated frames. More than 50 annotated object classes. (Formats: jpg)
The RVL SPEC-DB (SPECularity DataBase) A collection of over 300 real images of 100 objects taken under three different illuminaiton conditions (Diffuse/Ambient/Directed). -- Use these images to test algorithms for detecting and compensating specular highlights in color images. (Formats: TIFF )
Robot Vision Laboratory
The Xm2vts database The XM2VTSDB contains four digital recordings of 295 people taken over a period of four months. This database contains both image and video data of faces
Centre for Vision, Speech and Signal Processing
Traffic Image Sequences and 'Marbled Block' Sequence thousands of frames of digitized traffic image sequences as well as the 'Marbled Block' sequence (grayscale images) (Formats: GIF)
IAKS/KOGS
U Bern Face images hundreds of images (Formats: Sun rasterfile)
U Michigan textures (Formats: compressed raw)
U Oulu wood and knots database Includes classifications - 1000+ color images (Formats: ppm)
UCID - an Uncompressed Colour Image Database a benchmark database for image retrieval with predefined ground truth. (Formats: tiff)
UMass Vision Image Archive Large image database with aerial, space, stereo, medical images and more. (Formats: homebrew)
UNC's 3D image database many images (Formats: GIF)
USF Range Image Data with Segmentation Ground Truth 80 image sets (Formats: Sun rasterimage)
University of Oulu Physics-based Face Database contains color images of faces under different illuminants and camera calibration conditions as well as skin spectral reflectance measurements of each person
Machine Vision and Media Processing Unit
University of Oulu Texture Database Database of 320 surface textures, each captured under three illuminants, six spatial resolutions and nine rotation angles. A set of test suites is also provided so that texture segmentation, classification, and retrieval algorithms can be tested in a standard manner. (Formats: bmp, ras, xv)
Machine Vision Group
Usenix face database Thousands of face images from many different sites (circa 994)
View Sphere Database Images of 8 objects seen from many different view points. The view sphere is sampled using a geodesic with 172 images/sphere. Two sets for training and testing are available. (Formats: ppm)
PRIMA, GRAVIR
Vision-list Imagery Archive Many images, many formats
Wiry Object Recognition Database Thousands of images of a cart, ladder, stool, bicycle, chairs, and cluttered scenes with ground truth labelings of edges and regions. (Formats: jpg)
3D Vision Group
Yale Face Database 165 images (15 individuals) with different lighting, expression, and occlusion configurations
Yale Face Database B 5760 single light source images of 10 subjects each seen under 576 viewing conditions (9 poses x 64 illumination conditions). (Formats: PGM)
Center for Computational Vision and Control
DeepMind QA Corpus 1,293 over 7 years ago Textual QA corpus from CNN and DailyMail. More than 300K documents in total. for reference
YouTube-8M Dataset YouTube-8M is a large-scale labeled video dataset that consists of 8 million YouTube video IDs and associated labels from a diverse vocabulary of 4800 visual entities
Open Images dataset 4,250 over 3 years ago Open Images is a dataset of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories
Visual Object Classes Challenge 2012 (VOC2012) VOC2012 dataset containing 12k images with 20 annotated classes for object detection and segmentation
Fashion-MNIST 11,854 over 2 years ago MNIST like fashion product dataset consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes
Large-scale Fashion (DeepFashion) Database Contains over 800,000 diverse fashion images. Each image in this dataset is labeled with 50 categories, 1,000 descriptive attributes, bounding box and clothing landmarks
FakeNewsCorpus 385 over 4 years ago Contains about 10 million news articles classified using types
LLVIP 623 8 months ago 15488 visible-infrared paired images (30976 images) for low-light vision research,
MSDA 198 about 2 years ago Over over 5 million images from 5 different domains for multi-source ocr/text recognition DA research,
SANAD: Single-Label Arabic News Articles Dataset for Automatic Text Categorization SANAD Dataset is a large collection of Arabic news articles that can be used in different Arabic NLP tasks such as Text Classification and Word Embedding. The articles were collected using Python scripts written specifically for three popular news websites: AlKhaleej, AlArabiya and Akhbarona
Referit3D Two large-scale and complementary visio-linguistic datasets (aka Nr3D and Sr3D) for identifying fine-grained 3D objects in ScanNet scenes. Nr3D contains 41.5K natural, free-form utterances, and Sr3d contains 83.5K template-based utterances
SQuAD Stanford released ~100,000 English QA pairs and ~50,000 unanswerable questions
FQuAD ~25,000 French QA pairs released by Illuin Technology
GermanQuAD and GermanDPR deepset released ~14,000 German QA pairs
SberQuAD 2 almost 5 years ago Sberbank released ~90,000 Russian QA pairs
ArtEmis Contains 450K affective annotations of emotional responses and linguistic explanations for 80,000 artworks of WikiArt

Researchers / Conferences

CVPR - IEEE Conference on Computer Vision and Pattern Recognition
AAMAS - International Joint Conference on Autonomous Agents and Multiagent Systems
IJCAI - International Joint Conference on Artificial Intelligence
ICML - International Conference on Machine Learning
ECML - European Conference on Machine Learning
KDD - Knowledge Discovery and Data Mining
NIPS - Neural Information Processing Systems
O'Reilly AI Conference - O'Reilly Artificial Intelligence Conference
ICDM - International Conference on Data Mining
ICCV - International Conference on Computer Vision
AAAI - Association for the Advancement of Artificial Intelligence
MAIS - Montreal AI Symposium

Researchers / Frameworks

Caffe
Torch7
Theano
cuda-convnet
convetjs 10,855 over 1 year ago
Ccv
NuPIC
DeepLearning4J
Brain 8,006 about 4 years ago
DeepLearnToolbox 3,788 almost 6 years ago
Deepnet 896 about 10 years ago
Deeppy 1,380 almost 4 years ago
JavaNN 1,232 almost 7 years ago
hebel 1,169 almost 4 years ago
Mocha.jl 1,288 almost 6 years ago
OpenDL 219 about 9 years ago
cuDNN
MGL
Knet.jl 1,427 over 2 years ago
Nvidia DIGITS - a web app based on Caffe 4,119 over 1 year ago
Neon - Python based Deep Learning Framework 3,871 almost 4 years ago
Keras - Theano based Deep Learning Library
Chainer - A flexible framework of neural networks for deep learning
RNNLM Toolkit
RNNLIB - A recurrent neural network library
char-rnn 11,576 12 months ago
MatConvNet: CNNs for MATLAB 1,400 almost 3 years ago
Minerva - a fast and flexible tool for deep learning on multi-GPU 698 almost 6 years ago
Brainstorm - Fast, flexible and fun neural networks. 1,304 about 2 years ago
Tensorflow - Open source software library for numerical computation using data flow graphs 185,782 6 days ago
DMTK - Microsoft Distributed Machine Learning Tookit 2,745 about 6 years ago
Scikit Flow - Simplified interface for TensorFlow (mimicking Scikit Learn) 3,180 about 3 years ago
MXnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning framework 20,772 12 months ago
Veles - Samsung Distributed machine learning platform 905 11 months ago
Marvin - A Minimalist GPU-only N-Dimensional ConvNets Framework 422 over 6 years ago
Apache SINGA - A General Distributed Deep Learning Platform
DSSTNE - Amazon's library for building Deep Learning models 4,411 over 4 years ago
SyntaxNet - Google's syntactic parser - A TensorFlow dependency library 76,987 3 days ago
mlpack - A scalable Machine Learning library
Torchnet - Torch based Deep Learning Library 996 over 5 years ago
Paddle - PArallel Distributed Deep LEarning by Baidu 22,101 9 days ago
NeuPy - Theano based Python library for ANN and Deep Learning
Lasagne - a lightweight library to build and train neural networks in Theano 3,845 over 2 years ago
nolearn - wrappers and abstractions around existing neural network libraries, most notably Lasagne 948 over 1 year ago
Sonnet - a library for constructing neural networks by Google's DeepMind 9,758 5 days ago
PyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration 82,603 5 days ago
CNTK - Microsoft Cognitive Toolkit 17,506 over 1 year ago
Serpent.AI - Game agent framework: Use any video game as a deep learning sandbox 6,749 almost 2 years ago
Caffe2 - A New Lightweight, Modular, and Scalable Deep Learning Framework 8,416 over 1 year ago
deeplearn.js - Hardware-accelerated deep learning and linear algebra (NumPy) library for the web 8,480 about 5 years ago
TVM - End to End Deep Learning Compiler Stack for CPUs, GPUs and specialized accelerators
Coach - Reinforcement Learning Coach by Intel® AI Lab 2,325 almost 2 years ago
albumentations - A fast and framework agnostic image augmentation library 14,091 6 days ago
Neuraxle - A general-purpose ML pipelining framework 606 over 1 year ago
Catalyst: High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing 3,279 7 months ago
garage - A toolkit for reproducible reinforcement learning research 1,862 over 1 year ago
Detecto - Train and run object detection models with 5-10 lines of code 612 2 months ago
Karate Club - An unsupervised machine learning library for graph structured data 2,142 3 months ago
Synapses - A lightweight library for neural networks that runs anywhere 70 about 3 years ago
TensorForce - A TensorFlow library for applied reinforcement learning 3,297 2 months ago
Hopsworks - A Feature Store for ML and Data-Intensive AI 1,139 25 days ago
Feast - A Feature Store for ML for GCP by Gojek/Google 5,514 7 days ago
PyTorch Geometric Temporal - Representation learning on dynamic graphs 5,514 7 days ago
lightly - A computer vision framework for self-supervised learning 2,933 12 days ago
Trax — Deep Learning with Clear Code and Speed 8,054 26 days ago
Flax - a neural network ecosystem for JAX that is designed for flexibility 5,978 12 days ago
QuickVision 51 over 1 year ago
Colossal-AI - An Integrated Large-scale Model Training System with Efficient Parallelization Techniques 38,645 12 days ago
haystack: an open-source neural search framework
Maze 263 12 days ago Application-oriented deep reinforcement learning framework addressing real-world decision problems
InsNet - A neural network library for building instance-dependent NLP models with padding-free dynamic batching 66 almost 3 years ago

Researchers / Tools

Nebullvm 8,375 3 months ago Easy-to-use library to boost deep learning inference leveraging multiple deep learning compilers
Netron 27,736 5 days ago Visualizer for deep learning and machine learning models
Jupyter Notebook Web-based notebook environment for interactive computing
TensorBoard 6,679 12 days ago TensorFlow's Visualization Toolkit
Visual Studio Tools for AI Develop, debug and deploy deep learning and AI solutions
TensorWatch 3,412 about 1 year ago Debugging and visualization for deep learning
ML Workspace 3,405 2 months ago All-in-one web-based IDE for machine learning and data science
dowel 32 about 1 year ago A little logger for machine learning research. Log any object to the console, CSVs, TensorBoard, text log files, and more with just one call to
Neptune Lightweight tool for experiment tracking and results visualization
CatalyzeX Browser extension ( and ) that automatically finds and links to code implementations for ML papers anywhere online: Google, Twitter, Arxiv, Scholar, etc
Determined 2,994 12 days ago Deep learning training platform with integrated support for distributed training, hyperparameter tuning, smart GPU scheduling, experiment tracking, and a model registry
DAGsHub Community platform for Open Source ML – Manage experiments, data & models and create collaborative ML projects easily
hub 8,072 9 days ago Fastest unstructured dataset management for TensorFlow/PyTorch by activeloop.ai. Stream & version-control data. Converts large data into single numpy-like array on the cloud, accessible on any machine
DVC DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code
CML CML helps you bring your favorite DevOps tools to machine learning
MLEM MLEM is a tool to easily package, deploy and serve Machine Learning models. It seamlessly supports a variety of scenarios like real-time serving and batch processing

Researchers / Miscellaneous

Caffe Webinar
100 Best Github Resources in Github for DL
Word2Vec
Caffe DockerFile 82 almost 3 years ago
TorontoDeepLEarning convnet 505 about 4 years ago
gfx.js 125 about 7 years ago
Torch7 Cheat sheet 8,977 almost 2 years ago
Misc from MIT's 'Advanced Natural Language Processing' course
Misc from MIT's 'Machine Learning' course
Misc from MIT's 'Networks for Learning: Regression and Classification' course
Misc from MIT's 'Neural Coding and Perception of Sound' course
Implementing a Distributed Deep Learning Network over Spark
A chess AI that learns to play chess using deep learning. 812 over 7 years ago
Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind 652 over 9 years ago
Wiki2Vec. Getting Word2vec vectors for entities and word from Wikipedia Dumps 602 over 6 years ago
The original code from the DeepMind article + tweaks 1,827 over 6 years ago
Google deepdream - Neural Network art 13,231 almost 2 years ago
An efficient, batched LSTM.
A recurrent neural network designed to generate classical music. 1,917 10 months ago
Memory Networks Implementations - Facebook 1,754 about 4 years ago
Face recognition with Google's FaceNet deep neural network. 15,097 2 months ago
Basic digit recognition neural network 96 over 11 years ago
Emotion Recognition API Demo - Microsoft
Proof of concept for loading Caffe models in TensorFlow 2,796 about 5 years ago
YOLO: Real-Time Object Detection
YOLO: Practical Implementation using Python
AlphaGo - A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search"
Machine Learning for Software Engineers 28,081 4 months ago
Machine Learning is Fun!
Siraj Raval's Deep Learning tutorials
Dockerface 189 over 4 years ago Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container
Awesome Deep Learning Music 2,813 10 months ago Curated list of articles related to deep learning scientific research applied to music
Awesome Graph Embedding 4,743 over 1 year ago Curated list of articles related to deep learning scientific research on graph structured data at the graph level
Awesome Network Embedding 2,584 almost 4 years ago Curated list of articles related to deep learning scientific research on graph structured data at the node level
Microsoft Recommenders 18,851 16 days ago contains examples, utilities and best practices for building recommendation systems. Implementations of several state-of-the-art algorithms are provided for self-study and customization in your own applications
The Unreasonable Effectiveness of Recurrent Neural Networks Andrej Karpathy blog post about using RNN for generating text
Ladder Network 101 over 3 years ago Keras Implementation of Ladder Network for Semi-Supervised Learning
toolbox: Curated list of ML libraries
CNN Explainer
AI Expert Roadmap 29,052 9 months ago Roadmap to becoming an Artificial Intelligence Expert
Awesome Drug Interactions, Synergy, and Polypharmacy Prediction 87 about 2 years ago

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