Joeyrr

Joey Zhang's starred repositories

Two-phase-scheme-CNN

Two-phase Scheme for Trimming QTMT CU Partition using Multi-branch Convolutional Neural Networks

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lossy-vae

Authors' PyTorch implementation of lossy image compression methods based on hierarchical VAEs

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RDPlot

Tool for plotting rd curves from output of video coding test model software

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PyCabac

Python port to the VTM CABAC engine via pybind11

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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

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Skiplist_server_client

基于跳表的数据库服务器和客户端

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nncodec

Fraunhofer Neural Network Encoder/Decoder (NNCodec)

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pytorch-generative

Easy generative modeling in PyTorch.

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AIVC

AIVC is a fully-learned video codec. It is able to code video sequences at different rates and it features tunable coding configurations.

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qres-vae

Authors' PyTorch implementation of "Lossy Image Compression with Quantized Hierarchical VAEs"

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DCVC

Deep Contextual Video Compression

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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DeepCABAC

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entroformer

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xin26x

Video Encoder for Now and Next Decade

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YUView

The Free and Open Source Cross Platform YUV Viewer with an advanced analytics toolset

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video_codec_learn

关于视频编解码学习资料

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360_Rate_Control

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DCVC

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NAFNet

The state-of-the-art image restoration model without nonlinear activation functions.

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hexo-theme-fluid

:ocean: 一款 Material Design 风格的 Hexo 主题 / An elegant Material-Design theme for Hexo

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VSRS-Revision-1.1

A revision of view synthesis reference software

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vsrs

VSRS 修改版本，用以生成空洞图

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nndl.github.io

《神经网络与深度学习》邱锡鹏著 Neural Network and Deep Learning

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vvenc

VVenC, the Fraunhofer Versatile Video Encoder

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HEVC-Complexity-Reduction

Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.

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GitlHEVCAnalyzer

Gitl HEVC/H.265 Analyzer based on Qt. Custom filters supported.

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HEVCAnalyzer

HEVC H.265 stream GUI Analyzer based on wxWidgets

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HEVC-Complexity-Reduction

Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.

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JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

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