CHONSPQX

CHONSPQX

Geek Repo

Location:Harbin, China

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CHONSPQX's repositories

modulated-deform-conv

deformable convolution 2D 3D DeformableConvolution DeformConv Modulated Pytorch CUDA

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PD-Denoising-pytorch

Code of 'when AWGN-based Denoiser Meets Real Noises'

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996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

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arXiv2020-RIFE

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

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awesome-material

awesome material

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BasicSR

Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

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blind-denoising

Model-Blind Video Denoising Via Frame-to-frame Training

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coder2gwy

互联网首份程序员考公指南,由3位已经进入体制内的前大厂程序员联合献上。

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Coursera-Machine-Learning-Stanford

Machine learning-Stanford University

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Deep-Learning-Coursera-1

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

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deepin-wine

deepin-wine环境与应用在Mint/Ubuntu/Debian上的移植仓库

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DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

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DnCNN

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

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EDVR

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks

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FastDVDNet

An unoffical implement of FastDVDNet by PyTorch

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FFDNet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

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Forward-Warp

An optical flow forward warp's lib with backpropagation using pytorch.

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GenericBucket

Generic scoop bucket template.

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JM

h264 reference software from http://iphome.hhi.de/suehring/tml/download/

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KCFcpp

C++ Implementation of KCF Tracker

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n2v

This is the implementation of Noise2Void training.

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PPN2V

Code Implementation for the publication "Fully Unsupervised Probabilistic Noise2Void"

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pyinn

CuPy fused PyTorch neural networks ops

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tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

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tutorials

PyTorch tutorials.

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