Highlights
- Pro
Stars
A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
A community-maintained Python framework for creating mathematical animations.
PyTorch code and models for V-JEPA self-supervised learning from video.
The official implementation of "Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding"
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
The python library for real-time communication
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
No fortress, purely open ground. OpenManus is Coming.
An Open-source RL System from ByteDance Seed and Tsinghua AIR
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
Roblox Foundation Model for 3D Intelligence
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
Open-Sora: Democratizing Efficient Video Production for All
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A GPU-powered real-time analytics storage and query engine.
Ongoing research training transformer models at scale
🤗 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.
Gradient based Hyperparameter Tuning library in PyTorch