AI based multi-label girl image classification system, implemented by using TensorFlow.

Python module that makes working with XML feel like you are working with JSON

iikira/BaiduPCS-Go原版基础上集成了分享链接/秒传链接转存功能

Utils for streaming large files (S3, HDFS, gzip, bz2...)

ripgrep recursively searches directories for a regex pattern while respecting your gitignore

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

The official GitHub mirror of the Chromium source

VS Code in the browser

tmux source code

“连续八年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。本书拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，这可能是目前最用心的 Rust 中文学习教程 / Book

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

A high-throughput and memory-efficient inference and serving engine for LLMs

结巴中文分词

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

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

Official inference repo for FLUX.1 models

A collection of ZSH frameworks, plugins, themes and tutorials.

[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.

Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

The fastai deep learning library

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

A terminal for a more modern age

A general fine-tuning kit geared toward diffusion models.

[ECCV2024] IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild

We write your reusable computer vision tools. 💜

Fast and memory-efficient exact attention

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)