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
1k stars
65 watching
324 forks
Language: Jupyter Notebook
last commit: over 3 years agoLinked from 3 awesome lists
aialgorithmsartificial-intelligencebooksdata-miningdeep-learninglearningmachine-learningmathematicspdfplaygroundquantum-algorithmsquantum-computingquantum-informationreadingreinforcement-learning
Awesome AI books / Content | |||
| Organization with papers/researchs | 1,321 | over 3 years ago | |
| Training ground | 1,321 | over 3 years ago | |
| Books | 1,321 | over 3 years ago | |
Awesome AI books / Content / Books | |||
| Introductory theory and get start | 1,321 | over 3 years ago | |
| Mathematics | 1,321 | over 3 years ago | |
| Data mining | 1,321 | over 3 years ago | |
| Deep Learning | 1,321 | over 3 years ago | |
| Philosophy | 1,321 | over 3 years ago | |
Awesome AI books / Content | |||
| Quantum with AI | 1,321 | over 3 years ago | |
Awesome AI books / Content / Quantum with AI | |||
| Quantum Basic | 1,321 | over 3 years ago | |
| Quantum AI | 1,321 | over 3 years ago | |
| Quantum Related Framework | 1,321 | over 3 years ago | |
Awesome AI books / Content | |||
| Libs With Online Books | 1,321 | over 3 years ago | |
Awesome AI books / Content / Libs With Online Books | |||
| Reinforcement Learning | 1,321 | over 3 years ago | |
| Feature Selection | 1,321 | over 3 years ago | |
| Machine Learning | 1,321 | over 3 years ago | |
| Deep Learning | 1,321 | over 3 years ago | |
| NLP | 1,321 | over 3 years ago | |
| CV | 1,321 | over 3 years ago | |
| Meta Learning | 1,321 | over 3 years ago | |
| Transfer Learning | 1,321 | over 3 years ago | |
| Auto ML | 1,321 | over 3 years ago | |
| Dimensionality Reduction | 1,321 | over 3 years ago | |
Awesome AI books / Content | |||
| Distributed training | 1,321 | over 3 years 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 | 4,111 | almost 3 years ago | : Project Malmö is a platform for Artificial Intelligence experimentation and research built on top of Minecraft |
| DeepMind Pysc2 | 8,046 | about 2 years ago | : StarCraft II Learning Environment |
| Procgen | 1,030 | over 2 years 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 | almost 3 years ago | : A Mario AI framework for using AI methods |
| Google Dopamine | 10,591 | almost 2 years ago | : Dopamine is a research framework for fast prototyping of reinforcement learning algorithms |
| TextWorld | 1,230 | almost 2 years ago | : Microsoft - A learning environment sandbox for training and testing reinforcement learning (RL) agents on text-based games |
| Mini Grid | 2,139 | almost 2 years ago | : Minimalistic gridworld environment for OpenAI Gym |
| MAgent | 1,700 | almost 4 years ago | : A Platform for Many-agent Reinforcement Learning |
| XWorld | 85 | over 7 years ago | : A C++/Python simulator package for reinforcement learning |
| Neural MMO | 1,594 | about 3 years ago | : A Massively Multiagent Game Environment |
| MinAtar | 289 | over 3 years ago | : MinAtar is a testbed for AI agents which implements miniaturized version of several Atari 2600 games |
| craft-env | 44 | almost 8 years ago | : CraftEnv is a 2D crafting environment |
| gym-sokoban | 333 | almost 3 years ago | : Sokoban is Japanese for warehouse keeper and a traditional video game |
| Pommerman | 767 | almost 3 years ago | Playground hosts Pommerman, a clone of Bomberman built for AI research |
| gym-miniworld | 712 | almost 2 years ago | MiniWorld is a minimalistic 3D interior environment simulator for reinforcement learning & robotics research |
| vizdoomgym | 66 | about 5 years ago | OpenAI Gym wrapper for (A Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information) enviroments |
| ddz-ai | 90 | over 5 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 | 4,256 | about 2 years 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 | ||
| Quantum Computation and Quantum Information - Nielsen | |||
| 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 | 896 | almost 2 years ago | ProjectQ is an open source effort for quantum computing |
Awesome AI books / Libs With Online Books | |||
| Stable Diffusion | 68,750 | over 2 years ago | [ ] A latent text-to-image diffusion model |
| Stable Diffusion V2 | 39,501 | almost 2 years ago | High-Resolution Image Synthesis with Latent Diffusion Models |
| GFPGAN | 36,009 | about 2 years ago | [ ] GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration |
| ESRGAN | 6,078 | almost 4 years ago | [ ] ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR |
| CodeFormer | 16,049 | almost 2 years ago | [ ] - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer |
| UniPC | 304 | about 3 years 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 | 3,810 | about 2 years 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 8 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 | 16,122 | almost 3 years 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 | about 2 years ago | ( ) - Google Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale |
| TPOT | 9,776 | about 2 years 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 | about 3 years ago | ( ) - MLBox is a powerful Automated Machine Learning python library |
| ZenML | 4,261 | almost 2 years 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 | 44,052 | almost 2 years ago | ( ) - Flexible and powerful data analysis / manipulation library for Python |
| Polars | 30,943 | almost 2 years ago | ( ) - Lightning-fast DataFrame library for Rust and Python |
Awesome AI books / Distributed training | |||
| Horovod | 14,305 | almost 2 years 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 | 3,542 | almost 2 years ago | A Research Framework for (Distributed) Reinforcement Learning |
| bagua | 876 | about 2 years ago | Bagua is a flexible and performant distributed training algorithm development framework |
coopermaa/awesome-awesome
0ex/more-awesomeMore related projects:
jina-ai/dalle-flow
xpixelgroup/basicsr
xinntao/real-esrgan
rbbrdckybk/ai-art-generator
deforum/stable-diffusion
qunash/stable-diffusion-2-gui
ashawkey/stable-dreamfusion
jquesnelle/txt2imghd
ivylee/model-cards-and-datasheets
mrforexample/comfyui-3d-pack
amphi-ai/amphi-etl
aaronfeng753/waifu2x-extension-gui
automatic1111/stable-diffusion-webui