Deep Learning Specialization alternatives for AI agents.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Deep Learning for humans

An Open Source Machine Learning Framework for Everyone

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A WebGL accelerated JavaScript library for training and deploying ML models.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

🐍 Geometric Computer Vision Library for Spatial AI

Techniques for deep learning with satellite & aerial imagery

12 Weeks, 24 Lessons, AI for All!

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A game theoretic approach to explain the output of any machine learning model.

The fastai deep learning library