🦜🔗 Build context-aware reasoning applications

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 programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

A guidance language for controlling large language models.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Sweep: open-source AI-powered Software Developer for small features and bug fixes.

Using Low-rank adaptation to quickly fine-tune diffusion models.

Overview and tutorial of the LangChain Library

Inpaint anything using Segment Anything and inpainting models.

A Bulletproof Way to Generate Structured JSON from Language Models

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

SoTA LLM for converting natural language questions to SQL queries

The fast.ai course notebooks

An attempt to build a working, locally-running cheap version of Generative Agents: Interactive Simulacra of Human Behavior