Stars
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A high-throughput and memory-efficient inference and serving engine for LLMs
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A toolkit for developing and comparing reinforcement learning algorithms.
Intelligent automation and multi-agent orchestration for Claude Code
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Fast and memory-efficient exact attention
Turn (almost) any Python command line program into a full GUI application with one line
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
verl: Volcano Engine Reinforcement Learning for LLMs
Code samples for my book "Neural Networks and Deep Learning"
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
The absolute trainer to light up AI agents.
Backup and keep your application settings in sync.
Python Implementation of Reinforcement Learning: An Introduction
An educational resource to help anyone learn deep reinforcement learning.
q - Run SQL directly on delimited files and multi-file sqlite databases
TensorFlow-based neural network library
Script for downloading Coursera.org videos and naming them.