awesome-ai-books

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

1.7k

GitHub Stars

168

Curated Resources

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me mathematics resources from awesome-ai-books"

A3C
Google DeepMind Asynchronous Advantage Actor-Critic algorithm
Auto-Keras
Auto-Keras is an open source software library for automated machine learning (AutoML). It is developed by DATA Lab
Auto-sklearn
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator
Auto-WEKAA
Provides automatic selection of models and hyperparameters for
BERT
Pre-training of Deep Bidirectional Transformers for Language Understanding
CatBoost
Yandex Catboost lib's key algorithm pdf papper.

Acme
A Research Framework for (Distributed) Reinforcement Learning.
bagua
Bagua is a flexible and performant distributed training algorithm development framework.
Horovod
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.

A First Course in ProbabilityA First Course in Probability (8th)Mathematics
Sheldon M Ross
Artificial Intelligence-A Modern Approach (3rd Edition)Introductory theory and get start
Stuart Russell & peter Norvig
Conversational AIDeep Learning
Andrew R. Freed
Convex OptimizationMathematics
Stephen Boyd
d2l-pytorchDeep Learning
(Dive into Deep Learning) pytorch version.
Deep LearningDeep Learning
Ian Goodfellow & Yoshua Bengio & Aaron Courville

Showing a sample of 168 resources. View the full list on GitHub →