Lists (3)
Stars
🤗 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.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.
A collection of design patterns/idioms in Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A community-maintained Python framework for creating mathematical animations.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
PyTorch implementations of Generative Adversarial Networks.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Train transformer language models with reinforcement learning.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Low-code framework for building custom LLMs, neural networks, and other AI models
An educational resource to help anyone learn deep reinforcement learning.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Always know what to expect from your data.
PyTorch package for the discrete VAE used for DALL·E.
Hydra is a framework for elegantly configuring complex applications
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch