非线智能 NoneLinear - ReLE评测：中文AI大模型能力评测（持续更新）：目前已囊括374个大模型，覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat等商用模型， 以及step3.5-flash、kimi-…

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

A curated list of publications on image and video segmentation leveraging Multimodal Large Language Models (MLLMs), highlighting state-of-the-art methods, innovative applications, and key advanceme…

A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.

MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet …

A python library for user-friendly forecasting and anomaly detection on time series.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

🛠A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion, etc.🎉

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

🤗 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.

《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

ONNX Quantization Framework using ONNXScript/ONNX_IR

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation

一键生成数字人视频系统| 批处理AI视频自动生成系统｜基于文本自动生成AI图像生成/数字人视频｜TTS|音色克隆｜ASR｜OCR｜支持水印和logo添加转场效果｜字幕自动生成｜元素叠加｜剪辑合并｜ffmpeg

deep learning for image processing including classification and object-detection etc.

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require e…

A ComfyUI custom node package for [SAM3 (Segment Anything Model 3)](https://github.com/facebookresearch/sam3), providing powerful image and video segmentation capabilities with text prompts.

MetaSeg: Packaged version of the Segment Anything repository

深度学习辅助漫画翻译工具, 支持一键机翻和简单的图像/文本编辑 | Yet another computer-aided comic/manga translation tool powered by deeplearning

Simple, unified interface to multiple Generative AI providers

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

[ICLR'24 & IJCV‘25] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

Vision Foundation Models for Medical AI, including RETFound, DINOv2, DINOv3