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pytorch-examples

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-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

pytorchstepbystep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

pytorch_yolov4

PyTorch implementation of YOLOv4

pywt

PyWavelets - Wavelet Transforms in Python

qrs_detector

Python Online and Offline ECG QRS Detector based on the Pan-Tomkins algorithm

recursive-cascaded-networks

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

rl

reinforcement learning

sceloss-reproduce

Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112

score-based-ecg-denoising

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

sigviewer

SigViewer is a viewing application for biosignals.

slot-attention

Implementation of Slot Attention from GoogleAI

smop

Small Matlab to Python compiler

spherecluster

Clustering routines for the unit sphere

sssd-ecg

Generation of synthetic 12-lead electrocardiograms conditioned on 71 ECG statements from the PTB-XL dataset.

stockwell_transform

Stockwell Transform for python3

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

supervised-contrastive-learning-in-tensorflow-2

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

t2t-vit

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

tcga_segmentation

Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA https://arxiv.org/abs/2004.05024

tgs-saltidentification-open-solution-fastai

tianchi-2019-guangdong-intelligent-identification-of-cloth-defects-rank5

天池2019广东工业智造创新大赛 布匹疵点检测 天池水也太深了 季军解决方案

tianchiguangdong2019_2th