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attentiongan

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

blazeface_ncnn

移植pytorch版本blazeface到ncnn框架下

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

clash.meta

A rule-based tunnel in Go.

clashx

classification_models

Classification models trained on ImageNet. Keras.

clope_clustering_model

cloudviewer

A cross-platform point cloud visualization software powered by PCL and Qt.

courseregisteration

cyclegan

PyTorch implementation of CycleGAN

dbsr

Super-Resolution on Degraded Low-ResolutionImages Using Convolutional Neural Networks (DBSR)

dbsrcnn

Deblurring Super-Resolution Convolutional Neural Network

gradient-descent-demonstration

Animations demonstrating gradient descent algorithm

improved-garbanzo

lookahead_pytorch

Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)

oh-my-zsh

🙃 A delightful community-driven (with 1,300+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

opencv

Open Source Computer Vision Library

panda

Panda VPN

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-gan

🌼🌼🌼 Summary on the learn of Generative Adversarial Network。 GAN的一些练手demo，包括自编码器、变分编码器、DCGAN、cycleGAN等各种对抗生成网络模型。仅供参考学习。参考《pytorch深度学习入门与实践》

pytorch-gan-1

PyTorch implementations of Generative Adversarial Networks.

ranger-deep-learning-optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

realsr

Real-World Super-Resolution via Kernel Estimation and Noise Injection

resnet-50-cbam-pytorch

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

retina-unet

Retina blood vessel segmentation with a convolutional neural network

rules_cc

C++ Rules for Bazel

srmd-pytorch

A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"

tensorrt_demos

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

ugatit-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation