Stars
Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se…
Official JavaScript / TypeScript library for the OpenAI API
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Effortlessly run Python code in your React apps.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
GPTeam: An open-source multi-agent simulation
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
🤖 Sam-assistant is a personal assistant that is designed to understand your documents, search the internet, and in future versions, create and understand images, and communicate with you. It is bui…
modest natural-language processing
CLI tool that uses Codex to turn natural language commands into their Bash/ZShell/PowerShell equivalents
QLoRA: Efficient Finetuning of Quantized LLMs
Security camera with Raspberry pi and NVIDIA Jetson platforms
Allows the reading impaired to hear both printed and handwritten text by converting recognized sentences into synthesized speech
🚁 Robust proof-of-concept of a gesture-controlled drone: augmenting an ArduPilot flight controller with a Jetson Nano!
Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with…
The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning or fine-tuning. Training is reward-free and based on the Fo…
Hiera: A fast, powerful, and simple hierarchical vision transformer.
EgoTV Egocentric Task Verification from Natural Language Task Descriptions
A general purpose web app for connecting participants to engage in realtime conversations based on generated prompts.
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A collection of tools for neural compression enthusiasts.