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Starred repositories
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Open Source framework for voice and multimodal conversational AI
LLMPerf is a library for validating and benchmarking LLMs
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
A high-throughput and memory-efficient inference and serving engine for LLMs
Distribute and run LLMs with a single file.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
🎓 Sharing machine learning course / lecture notes.
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Interactive Canvas in Jupyter
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
An uroboros program with 100+ programming languages
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A toolkit for developing and comparing reinforcement learning algorithms.
TensorFlow - A curated list of dedicated resources http://tensorflow.org