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acgan-pytorch

awesome-backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

backend

后台开发相关知识

bci

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

cartoon-face-generation

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

cplusplusthings

C++那些事

cs-base

图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

csra

Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"

djim100-people-detect-track

A ros demo for people detection and tracking on DJI M100 drone

dtrg

Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization (TIP 2022)

fbcnn

gan_metrics

Some metrics to evaluate GAN results quality.

generative-models

This project aim to share the knowledge and code concerning generative models.

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

irgan

json-tutorial

从零开始的 JSON 库教程

medmnist

[pip install medmnist] 18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification

my_webserver_timewheel

myshell

这是一个shell项目，该项目是模拟Linux下的命令解析器。Shell提供了一种与操作系统之间通讯的方式，在Linux上，它是一种命令行式的shell。等待用户输入命令，向操作系统解释用户输入的命令，并且处理各种各样操作系统向外部的输出结果。 这个项目，首先实现一个mybash操作，模拟Linux系统下的bash功能，接收并处理用户的输入命令；然后创建mybin目录文件，在该目录文件来存放可执行文件，即就是命令的实现。主要实现了cd、ls、su、pwd等命令，来模拟Linux下的bash简单操作。

mytinystl

Achieve a tiny STL in C++11

mywebserver

nemar

[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

osme_mamc

implement of Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition with keras

p2p-net

Official implementation of "Fine-Grained Object Classification via Self-Supervised Pose Alignment".

pca-net

Progressive Co-Attention Network for Fine-Grained Visual Classification

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pmg-progressive-multi-granularity-training

Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)