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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

pt.darts

PyTorch Implementation of DARTS: Differentiable Architecture Search

python

All Algorithms implemented in Python

python-cheatsheet

Comprehensive Python Cheatsheet

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch-opcounter

Count the FLOPs of your PyTorch model.

pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorchocr

基于Pytorch的OCR工具库，支持常用的文字检测和识别算法

pytorchssd

pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

qshell

qshell是利用七牛文档上公开的API实现的一个方便开发者测试和使用七牛API服务的命令行工具。

relabel_imagenet

resnest

ResNeSt: Split-Attention Networks

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

senet

Squeeze-and-Excitation Networks

senet-pytorch

senet.pytorch

PyTorch implementation of SENet

shadow

This is CNN forward implementation.

solo

SOLO: Segmenting Objects by Locations https://arxiv.org/abs/1912.04488

ssd_pytorch

support different SSDs and different scale test, support refineDet.

swa

Stochastic Weight Averaging in PyTorch

taylor_pruning

Pruning Neural Networks with Taylor criterion in Pytorch

tensorboardx

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

tensorrt-yolov3

TensorRT for Yolov3

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

tools_code

Tool code used

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

vega

AutoML tools chain

yet-another-efficientdet-pytorch

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