3D Computer Vision Framework

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.

AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...

A modular graph-based Retrieval-Augmented Generation (RAG) system

The first real AI developer

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

Datasets, Transforms and Models specific to Computer Vision

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

🐍 Geometric Computer Vision Library for Spatial AI

UFO³: Weaving the Digital Agent Galaxy

Accessible large language models via k-bit quantization for PyTorch.

智能闲鱼客服机器人系统：专为闲鱼平台打造的AI值守解决方案，实现闲鱼平台7×24小时自动化值守，支持多专家协同决策、智能议价和上下文感知对话。

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure

🤗 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.