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mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

Language:PythonGPL-3.0280500

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Language:PythonApache-2.03047300

Sports-QA

Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports

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Depth-Anything-V2

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

Language:PythonApache-2.0101400

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

Language:PythonApache-2.0326000

ninja

a small build system with a focus on speed

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llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

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axlearn

An Extensible Deep Learning Library

Language:PythonApache-2.0154400

lerobot

🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

Language:PythonApache-2.0420900

AnyDoor

Official implementations for paper: Anydoor: zero-shot object-level image customization

Language:PythonMIT381400

LyCORIS

Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.

Language:PythonApache-2.0203300

train-CLIP

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

Language:PythonMIT62500

yolov10

YOLOv10: Real-Time End-to-End Object Detection

Language:PythonAGPL-3.0767600

QDelayer

为macOS的 ⌘Q 和 ⌘W 快捷键添加延时 / Block the ⌘Q & ⌘W hotkey for macOS

Language:SwiftGPL-3.02700

QuickRecorder

A lightweight screen recorder based on ScreenCapture Kit for macOS / 基于 ScreenCapture Kit 的轻量化多功能 macOS 录屏工具

Language:SwiftAGPL-3.0343400

ComfyUI

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

Language:PythonGPL-3.03970800

LIME_Processing

Low-light enhancement technology(C++)

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pytorch-ssim

pytorch structural similarity (SSIM) loss

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the-way-to-go_ZH_CN

《The Way to Go》中文译本，中文正式名《Go 入门指南》

Language:Go3427400

EnlightenGAN

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

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