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awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

bert-pytorch

Google AI 2018 BERT pytorch implementation

cincgan-pytorch

Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.

classification_models

Classification models trained on ImageNet. Keras.

cnn_finetune

Fine-tune CNN in Keras

cvpr_template

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

darknet

Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

dasr

[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

dbpn-pytorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

deep_sort_yolov3

yolo做行人检测+deep-sort做匹配，端对端做多目标跟踪

deeplearning-ng-homework

Programming homework of DeepLearning(Andrew Ng) :airplane:

distillation

dpir

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

easiest-srgan-demo

最简单的基于SRGAN网络的实现， 附带已训练好的模型及GIF生成代码， 更适合作为Demo展示

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

finetune_classification

使用 TensorFlow 进行 finetuning 的通用分类模型

grad-cam.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;欢迎试用、关注并反馈问题...

hog-svm-classifer

For the CIFAR-10 dataset, extracting HOG features and using SVM classifier to classify them, at last, we get the accuracy.

image-processing-algorithm

paper implement

imagenet

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

kdtf

Knowledge Distillation using Tensorflow

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-transfer-learning-for-oxford102

Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

kernel-modeling-super-resolution

Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images

kernelgan