XCHYang

XCHYang's Stars

• bitsandbytes-foundation/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python6.3k629

• DingXiaoH/RepVGG

  RepVGG: Making VGG-style ConvNets Great Again

  Language:Python3.3k435

• csyhhu/Awesome-Deep-Neural-Network-Compression

  Summary, Code for Deep Neural Network Quantization

  Language:Python53081

• dmlc/gluon-cv

  Gluon CV Toolkit

  Language:Python5.8k1.2k

• lmbxmu/HRank

  Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

  Language:Python25249

• aiff22/PyNET-PyTorch

  Generating RGB photos from RAW image files with PyNET (PyTorch)

  Language:Python35057

• zhutmost/lsq-net

  Unofficial implementation of LSQ-Net, a neural network quantization framework

  Language:Python27740

• hustzxd/LSQuantization

  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)

  Language:Jupyter Notebook12421

• facebookresearch/kill-the-bits

  Code for: "And the bit goes down: Revisiting the quantization of neural networks"

  Language:Python636123

• OAID/Caffe-HRT

  Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

  Language:C++26999

• superlich7/caffe

  This fork of BVLC/Caffe is dedicated to supporting Cambricon deep learning processor and improving performance of this deep learning framework when running on Machine Learning Unit(MLU).

  Language:C++4111

• OpenMathLib/OpenBLAS

  OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

  Language:C6.4k1.5k

• zsyOAOA/VDNet

  Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)

  Language:Python21344

• wenbihan/reproducible-image-denoising-state-of-the-art

  Collection of popular and reproducible image denoising works.

  2.4k507

• FQrabbit/SSTap-Rule

  支持更多游戏规则，让SSTap成为真正的“网游加速器”

  Language:Python6.2k1.2k

• teddysun/shadowsocks_install

  Auto Install Shadowsocks Server for CentOS/Debian/Ubuntu

  Language:Shell8.1k4.6k

• shadowsocksrr/shadowsocksr-csharp

  Language:C#15.3k3.3k

• 233boy/v2ray

  最好用的 V2Ray 一键安装脚本 & 管理脚本

  Language:Shell24.7k16.2k

• stillwater-sc/universal

  Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.

  Language:C++41159

• vangvassalos/DLarithmetic

  Research material on arithmetic formats, schemes, etc., focused on Convolutional Neural Networks

  71

• facebookresearch/deepfloat

  An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.

  Language:SystemVerilog38938

• aria2/aria2

  aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.

  Language:C++35.8k3.6k

• andravin/wincnn

  Winograd minimal convolution algorithm generator for convolutional neural networks.

  Language:Python602144

• EunhyeokPark/OutlierQuant

  Language:Python2

• houshanren/hangzhou_house_knowledge

  2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

  Language:CSS26.7k5.3k

• shadowsocks/shadowsocks-android

  A shadowsocks client for Android

  Language:Kotlin35.2k11.6k

• dongyp13/Stochastic-Quantization

  Training Low-bits DNNs with Stochastic Quantization

  Language:Jupyter Notebook7318

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.8k9.1k

• hillwoodroc/winetricks-zh

  A windows applications setup wizard for Chinese wine users

  Language:Shell1.2k127

• ducha-aiki/caffenet-benchmark

  Evaluation of the CNN design choices performance on ImageNet-2012.

  Language:Jupyter Notebook743155