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pytorch-lars

Layer-wise Adaptive Rate Scaling in PyTorch

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

pytorch-mobilenet-v3

MobileNetV3 in pytorch and ImageNet pretrained models

pytorch-mot-tracking

Demo the Kalman Filter on pedestrian tracking with YOLOv3.

pytorch-multi-label-image-classification

pytorch-network-slimming

network slimming for pytorch models, support user defined models with Linear/Conv(groups=1)/BN

pytorch-operator

PyTorch on Kubernetes

pytorch-pretrained-vit

Vision Transformer (ViT) in PyTorch

pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

pytorch-spm

Pytorch implementation of Single-Stage Multi-Person Pose Machines (ICCV'19)

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.

pytorch-stylegan2-distillation

StyleGAN2 Distillation for Feed-forward Image Manipulation

pytorch-testrankiqa

RankIQA model files in Pytorch. Test RankIQA on TID2013 or LIVE dataset in Pytorch.

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

pytorch_blazeface

Unofficial PyTorch implementation of BlazeFace

pytorch_gan_zoo

A mix of GAN implementations including progressive growing

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

pytorch_retinaface

Get 79.69% in widerface hard val using mobilenet0.25.

pytorchconverter

Pytorch model to caffe & ncnn

pytouch

PyTouch is a machine learning library for tactile touch sensing.

pytracking

Visual tracking library based on PyTorch.

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

qnnpack

Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators

que-outlier-detection

High dimensional mean estimation and outlier detection in nearly-linear time.

r-drop

radam

On The Variance Of The Adaptive Learning Rate And Beyond

ranger-deep-learning-optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase

rank-pooling-python

python code of rank pooling