awesome-AI-books

AI playground

A collection of AI-related resources and playground models for learning and experimentation

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

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aialgorithmsartificial-intelligencebooksdata-miningdeep-learninglearningmachine-learningmathematicspdfplaygroundquantum-algorithmsquantum-computingquantum-informationreadingreinforcement-learning

Awesome AI books / Content
Organization with papers/researchs 1,309 over 1 year ago
Training ground 1,309 over 1 year ago
Books 1,309 over 1 year ago

Awesome AI books / Content / Books
Introductory theory and get start 1,309 over 1 year ago
Mathematics 1,309 over 1 year ago
Data mining 1,309 over 1 year ago
Deep Learning 1,309 over 1 year ago
Philosophy 1,309 over 1 year ago

Awesome AI books / Content
Quantum with AI 1,309 over 1 year ago

Awesome AI books / Content / Quantum with AI
Quantum Basic 1,309 over 1 year ago
Quantum AI 1,309 over 1 year ago
Quantum Related Framework 1,309 over 1 year ago

Awesome AI books / Content
Libs With Online Books 1,309 over 1 year ago

Awesome AI books / Content / Libs With Online Books
Reinforcement Learning 1,309 over 1 year ago
Feature Selection 1,309 over 1 year ago
Machine Learning 1,309 over 1 year ago
Deep Learning 1,309 over 1 year ago
NLP 1,309 over 1 year ago
CV 1,309 over 1 year ago
Meta Learning 1,309 over 1 year ago
Transfer Learning 1,309 over 1 year ago
Auto ML 1,309 over 1 year ago
Dimensionality Reduction 1,309 over 1 year ago

Awesome AI books / Content
Distributed training 1,309 over 1 year ago

Awesome AI books / Organization with papers/researchs
arxiv.org
Science
Nature
DeepMind Publications
OpenAI Research

Awesome AI books / Training ground
OpenAI Gym : A toolkit for developing and comparing reinforcement learning algorithms. (Can play with , Box2d, MuJoCo etc...)
malmo 4,096 12 months ago : Project Malmö is a platform for Artificial Intelligence experimentation and research built on top of Minecraft
DeepMind Pysc2 8,032 4 months ago : StarCraft II Learning Environment
Procgen 1,021 11 months ago : Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments
TorchCraftAI : A bot platform for machine learning research on StarCraft®: Brood War®
Valve Dota2 : Dota2 game acessing api. ( )
Mario AI Framework 102 about 1 year ago : A Mario AI framework for using AI methods
Google Dopamine 10,569 17 days ago : Dopamine is a research framework for fast prototyping of reinforcement learning algorithms
TextWorld 1,221 about 1 month ago : Microsoft - A learning environment sandbox for training and testing reinforcement learning (RL) agents on text-based games
Mini Grid 2,122 4 days ago : Minimalistic gridworld environment for OpenAI Gym
MAgent 1,690 about 2 years ago : A Platform for Many-agent Reinforcement Learning
XWorld 85 almost 6 years ago : A C++/Python simulator package for reinforcement learning
Neural MMO 1,586 over 1 year ago : A Massively Multiagent Game Environment
MinAtar 286 over 1 year ago : MinAtar is a testbed for AI agents which implements miniaturized version of several Atari 2600 games
craft-env 44 almost 6 years ago : CraftEnv is a 2D crafting environment
gym-sokoban 331 about 1 year ago : Sokoban is Japanese for warehouse keeper and a traditional video game
Pommerman 767 11 months ago Playground hosts Pommerman, a clone of Bomberman built for AI research
gym-miniworld 703 20 days ago MiniWorld is a minimalistic 3D interior environment simulator for reinforcement learning & robotics research
vizdoomgym 66 over 3 years ago OpenAI Gym wrapper for (A Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information) enviroments
ddz-ai 90 over 3 years ago 以孤立语假设和宽度优先搜索为基础，构建了一种多通道堆叠注意力Transformer结构的斗地主ai

Awesome AI books / Books / Introductory theory and get start
Artificial Intelligence-A Modern Approach (3rd Edition) Stuart Russell & peter Norvig
Grokking Artificial Intelligence Algorithms Rishal Hurbans

Awesome AI books / Books / Mathematics
A First Course in ProbabilityA First Course in Probability (8th) Sheldon M Ross
Convex Optimization Stephen Boyd
Elements of Information Theory Elements Thomas Cover & Jay A Thomas
Discrete Mathematics and Its Applications 7th Kenneth H. Rosen
Introduction to Linear Algebra (5th) Gilbert Strang
Linear Algebra and Its Applications (5th) David C Lay
Probability Theory The Logic of Science Edwin Thompson Jaynes
Probability and Statistics 4th Morris H. DeGroot
Statistical Inference (2nd) Roger Casella
信息论基础 (原书Elements of Information Theory Elements第2版) Thomas Cover & Jay A Thomas
凸优化 (原书Convex Optimization) Stephen Boyd
数理统计学教程 陈希儒
数学之美 2th 吴军
概率论基础教程 (原书A First Course in ProbabilityA First Course in Probability第9版) Sheldon M Ross
线性代数及其应用 (原书Linear Algebra and Its Applications第3版) David C Lay
统计推断 (原书Statistical Inference第二版) Roger Casella
离散数学及其应用 (原书Discrete Mathematics and Its Applications第7版) Kenneth H.Rosen

Awesome AI books / Books / Data mining
Introduction to Data Mining Pang-Ning Tan
Programming Collective Intelligence Toby Segaran
Feature Engineering for Machine Learning Amanda Casari, Alice Zheng
集体智慧编程 Toby Segaran

Awesome AI books / Books / Machine Learning
Information Theory, Inference and Learning Algorithms David J C MacKay
Machine Learning Tom M. Mitchell
Pattern Recognition and Machine Learning Christopher Bishop
The Elements of Statistical Learning Trevor Hastie
Machine Learning for OpenCV Michael Beyeler ( )
机器学习 周志华
机器学习 (原书Machine Learning) Tom M. Mitchell
统计学习方法 李航

Awesome AI books / Books / Deep Learning / Online Quick learning
Dive into Deep Learning (Using MXNet)An interactive deep learning book with code, math, and discussions
d2l-pytorch 4,244 4 months ago (Dive into Deep Learning) pytorch version
动手学深度学习 (Dive into Deep Learning) for chinese

Awesome AI books / Books / Deep Learning
Deep Learning Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning Methods and Applications Li Deng & Dong Yu
Learning Deep Architectures for AI Yoshua Bengio
Machine Learning An Algorithmic Perspective (2nd) Stephen Marsland
Neural Network Design (2nd) Martin Hagan
Neural Networks and Learning Machines (3rd) Simon Haykin
Neural Networks for Applied Sciences and Engineering Sandhya Samarasinghe
深度学习 (原书Deep Learning) Ian Goodfellow & Yoshua Bengio & Aaron Courville
神经网络与机器学习 (原书Neural Networks and Learning Machines) Simon Haykin
神经网络设计 (原书Neural Network Design) Martin Hagan
Interpretable AI Ajay Thampi
Conversational AI Andrew R. Freed

Awesome AI books / Books / Philosophy
Human Compatible: Artificial Intelligence and the Problem of Control Stuart Russell
Life 3.0: Being Human in the Age of Artificial Intelligence Max Tegmark
Superintelligence: Paths, Dangers, Strategies Nick Bostrom

Awesome AI books / Quantum with AI
Quantum Computing Primer D-Wave quantum computing primer
Quantum computing 101 Quantum computing 101, from University of Waterloo
pdf Quantum Computation and Quantum Information - Nielsen
pdf 量子计算和量子信息（量子计算部分）- Nielsen
Quantum neural networks
An Artificial Neuron Implemented on an Actual Quantum Processor
Classification with Quantum Neural Networks on Near Term Processors
Black Holes as Brains: Neural Networks with Area Law Entropy
ProjectQ 891 24 days ago ProjectQ is an open source effort for quantum computing

Awesome AI books / Libs With Online Books
Stable Diffusion 68,368 5 months ago [ ] A latent text-to-image diffusion model
Stable Diffusion V2 39,192 about 1 month ago High-Resolution Image Synthesis with Latent Diffusion Models
GFPGAN 35,898 4 months ago [ ] GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration
ESRGAN 6,023 about 2 years ago [ ] ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR
CodeFormer 15,838 about 1 month ago [ ] - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
UniPC 298 about 1 year ago [ ] UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
A3C Google DeepMind Asynchronous Advantage Actor-Critic algorithm
Q-Learning SARSA - Q-Learning is a value-based Reinforcement Learning algorithm
DDPG Deep Deterministic Policy Gradient,
Large-Scale Curiosity Large-Scale Study of Curiosity-Driven Learning
PPO OpenAI Proximal Policy Optimization Algorithms
RND OpenAI Random Network Distillation, an exploration bonus for deep reinforcement learning method
VIME OpenAI Variational Information Maximizing Exploration
DQV Deep Quality-Value (DQV) Learning
ERL Evolution-Guided Policy Gradient in Reinforcement Learning
MF Multi-Agent RL Mean Field Multi-Agent Reinforcement Learning. (this paper include MF-Q and MF-AC)
MAAC Actor-Attention-Critic for Multi-Agent Reinforcement Learning
scikit-feature A collection of feature selection algorithms, available on
Scikit learn ( ) - Machine Learning in Python
Linfa 3,762 3 months ago ( ) - spirit of , a rust ML lib
Xgboost ( ) - Xgboost lib's document
LightGBM ( ) - Microsoft lightGBM lib's features document
CatBoost ( ) - Yandex Catboost lib's key algorithm pdf papper
StackNet 1,322 about 6 years ago ( ) - Some model stacking algorithms implemented in this lib
RGF Learning Nonlinear Functions Using (multi-core implementation )
FM , , , - Factorization Machines and some extended Algorithms
GNN Papers 16,037 11 months ago Must-read papers on graph neural networks (GNN)
EfficientNet Rethinking Model Scaling for Convolutional Neural Networks
DenseNet Densely Connected Convolutional Networks
XLNet XLNet: Generalized Autoregressive Pretraining for Language Understanding
BERT Pre-training of Deep Bidirectional Transformers for Language Understanding
GPT-3 Language Models are Few-Shot Learners
Fast R-CNN Fast Region-based Convolutional Network method (Fast R-CNN) for object detection
Mask R-CNN Mask R-CNN, extends Faster R-CNN by adding a branch for predicting an object mask in parallel with the existing branch for bounding box recognition
GQN DeepMind Generative Query Network, Neural scene representation and rendering
MAML Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
GCN Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Model Search 3,268 4 months ago ( ) - Google Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale
TPOT 9,736 4 months ago ( ) - TPOT is a lib for AutoML
Auto-sklearn ( ) - auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator
Auto-Keras ( ) - Auto-Keras is an open source software library for automated machine learning (AutoML). It is developed by DATA Lab
TransmogrifAI ( ) - TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library written in Scala that runs on top of Spark
Auto-WEKAA Provides automatic selection of models and hyperparameters for
MLBox 1,500 over 1 year ago ( ) - MLBox is a powerful Automated Machine Learning python library
ZenML 4,071 6 days ago ( ) - ZenML is built for ML practitioners who are ramping up their ML workflows towards production
t-SNE ( ) - T-distributed Stochastic Neighbor Embedding (t-SNE) is a machine learning algorithm for visualization
PCA ( ) - Principal component analysis
LDA ( ) - Linear Discriminant Analysis
LLE ( ) - Locally linear embedding
Laplacian Eigenmaps Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
Sammon Mapping ( ) - Sammon mapping is designed to minimise the differences between corresponding inter-point distances in the two spaces
Pandas 43,807 4 days ago ( ) - Flexible and powerful data analysis / manipulation library for Python
Polars 30,400 4 days ago ( ) - Lightning-fast DataFrame library for Rust and Python

Awesome AI books / Distributed training
Horovod 14,265 3 months ago Horovod is a distributed training framework for TensorFlow, Keras, PyTorch, and MXNet. The goal of Horovod is to make distributed Deep Learning fast and easy to use
Acme 3,515 22 days ago A Research Framework for (Distributed) Reinforcement Learning
bagua 877 4 months ago Bagua is a flexible and performant distributed training algorithm development framework

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