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adcnn

Repository of the paper "Attention-based Dual-scale CNN In-Loop Filter for Versatile Video Coding"

cnn-fractional-motion-compensation

The GitHub open source software repository on interpreting super-resolution CNNs for sub-pixel motion compensation in video coding

cnn_in-loop_filter

A Hierarchical Deep Learning Approach for In-loop Filtering in Video Coding

cnnif

CNN-based fractional interpolation filter for video coding

cvnd_exercises

【优达学城】【计算机视觉】【练习代码】

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

edcnn

Efficient In-Loop Filtering Based on Enhanced Deep Convolutional Neural Networks for HEVC

fastbook

The fastai book, published as Jupyter Notebooks

fuzzy-svm-based-low-complexity-for-hevc

hevc-cu-depths-prediction-cnn

Using convolutional neural networks to predict the Coding Units (CUs) depths in HEVC intra-prediction mode, in order to reduce the time of the encoding process in HEVC.

hevc-deep-learning-pipeline

Integrating neural network models in HEVC encoder, to test the complexity reduction using deep learning in HEVC intra-prediction.

hm-cnnf

Convolution neural network based loop filter for improving the video coding effciency

hm-fbenet

Modified HEVC Reference Software for Fractional Block Enhancement Experiment in Inter-Coding Stage

hm16.9-nn_fme

My fork of HEVC reference software (HM16.9) which applies a Neural Network based Fractional-Pixel Motion Estimation

image_classification

使用CNN，pytorch实现图像分类, implement image_classification with pytorch and comet.ml tools

lhy_dl_hw

libtorch_test

liu4k_benchmark

paddlepaddle_learn

pytorch_cpp

Deep Learning sample programs using PyTorch in C++

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

swinir

SwinIR: Image Restoration Using Swin Transformer

vdsr_pytorch

VDSR PyTorch Implementation