AI Agent Skills

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…

A curated list of project tutorials for project-based learning.

Techniques for deep learning with satellite & aerial imagery

Deep Learning for humans

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

The fastai deep learning library

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbo…

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Statistical Machine Intelligence & Learning Engine

An Engine-Agnostic Deep Learning Framework in Java

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.