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adan

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

centernet-plus

A Simple Baseline for Object Detection

cuda-image-and-video-codec

Codec created during my Ph.D. that processes image and video files using Nvidia GPUs. It is based on the JPEG2000 framework and includes the same features.

cuda_compression

A GPU-based LZSS compression algorithm, highly tuned for NVIDIA GPGPUs and for streaming data, leveraging the respective strengths of CPUs and GPUs together.

czyblog

dasiamrpn

[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking

deep-learning-for-image-processing

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

dreambooth-stable-diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

easyloggingpp

Single header C++ logging library. It is extremely powerful, extendable, light-weight, fast performing, thread and type safe and consists of many built-in features. It provides ability to write logs in your own customized format. It also provide support for logging your classes, third-party libraries, STL and third-party containers etc.

gdal

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

gitignore

A collection of useful .gitignore templates

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learnrepo

这是我的一个学习测试仓库

ml2022-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

new-yolov1_pytorch

nvcomp

Repository for nvCOMP docs and examples. nvCOMP is a library for fast lossless compression/decompression on the GPU that can be downloaded from https://developer.nvidia.com/nvcomp.

paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

qmlclassdiagram

QML控件之间的关系图和QML控件和C++类的对应关系，基于Qt5.6版本 其他版本可能会有差异

rt-odlab

YOLO Tutorial

seglossodyssey

A collection of loss functions for medical image segmentation

segment-anything

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.

semantic-segmentation-loss-functions

This Repository is implementation of majority of Semantic Segmentation Loss Functions

siamese-pytorch

这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。

simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

socket.cpp

C++ Socket Class for Windows