Jzz24

Jzz24's Stars

• Zhen-Dong/HAWQ

  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

  Language:Python42182

• zhutmost/lsq-net

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

  Language:Python28340

• itayhubara/CalibTIP

  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

  Language:Python9522

• hhaAndroid/mmdetection-mini

  mmdetection最小学习版

  Language:Python1.1k195

• lilinxiong/cppPrimerPlus-six-

  C++PrimerPlus(第6版)中文版源码

  Language:C++375141

• davidbau/dissect

  Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

  Language:Python30051

• dog-qiuqiu/MobileNet-Yolo

  MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

  Language:C1.7k278

• grimoire/mmdetection-to-tensorrt

  convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

  Language:Python59485

• deepglint/EasyQuant

  EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

  Language:Python39370

• amirgholami/ZeroQ

  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

  Language:Python27556

• jakc4103/DFQ

  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

  Language:Python26045

• jiangwx/DFQ

  Data Free Quantization for Object Detection

  Language:Python173

• submission2019/cnn-quantization

  Quantization of Convolutional Neural networks.

  Language:Python24160

• ynahshan/nn-quantization-pytorch

  Language:Jupyter Notebook5514

• SpaceVim/SpaceVim

  A modular configuration of Vim and Neovim

  Language:Vim Script20.4k1.4k

• facebookresearch/classifier-balancing

  This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

  Language:Python954137

• quic/aimet

  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

  Language:Python2.2k393

• ShusenTang/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。

  Language:Jupyter Notebook18.5k5.4k

• zhanghang1989/ResNeSt

  ResNeSt: Split-Attention Networks

  Language:Python3.2k495

• zylo117/Yet-Another-EfficientDet-Pytorch

  The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

  Language:Jupyter Notebook5.2k1.3k

• Julen96/Plant-Pathology-2020-FGVC7

  Kaggle competition with Fine Grained Visual Categorization

  Language:Jupyter Notebook51

• KhiemLe99/Plant-Pathology-FGVC-2020

  Identify the category of foliar diseases in apple trees

  Language:Python4

• HaloTrouvaille/YOLO-Multi-Backbones-Attention

  Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

  Language:Python497118

• ZiweiWangTHU/BiDet

  This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.

  Language:Python17534

• apxlwl/MNN-yolov3

  MNN demo of Strongeryolo, including channel pruning, android support...

  Language:C++10537

• nmilosev/pytorch-arm-builds

  Unofficial PyTorch and torchvision builds for ARM devices

  Language:Shell20347

• Tencent/ncnn

  ncnn is a high-performance neural network inference framework optimized for the mobile platform

  Language:C++20.8k4.2k

• ShiqiYu/libfacedetection

  An open source library for face detection in images. The face detection speed can reach 1000FPS.

  Language:C++12.4k3.1k

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4.1k711

• huawei-noah/AdderNet

  Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

  Language:Python955186