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awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

DFQ

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

DeepVision

在我很多项目中用到的CV算法推理框架应用。

SegmenTron

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-tensorflow-lite

TensorFlow Lite models, samples, tutorials, tools and learning resources.

bolt

Bolt is a deep learning library with high performance and heterogeneous flexibility.

CenterTrack

Simultaneous object detection and tracking using center points.

cuSNN

Spiking Neural Networks in C++ with strong GPU acceleration through CUDA

darknetTWN

Ternary Weights Network for Darknet

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

embedded-ai.bench

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

HDLBits-Solutions-Verilog

micronet_neurips_challenge

MicroNet Challenge hosted at NeurIPs 2019.

neurips-micronet

[JMLR 2020] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion

pytorch-examples

Simple examples to introduce PyTorch

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

PyTorch-Spiking-YOLOv3

A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.

pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

RegNet-Pytorch

PyTorch reimplementation of RegNet (Design Space Design, CVPR2020) on CIFAR10 and ImageNet

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

SNN_benchmark

spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

tensorflow

An Open Source Machine Learning Framework for Everyone

TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

TNN

TNN：由腾讯优图实验室打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。

tutorials

PyTorch tutorials.

YOLO-Multi-Backbones-Attention

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