dewenzeng

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

python-classifier-2022

Python example classifier for the PhysioNet Challenge 2022

MedMNIST

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

vision_transformer

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

physionet22

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

UTNet

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Swin-Unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

PCRL

official pytorch implementation of PCRL

RNF-Fairness

PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization

nddiss

LaTeX style for Notre Dame Dissertations. We will need to continue to keep this available, even after Curate is retired. Or we will need to transfer ownership to the Graduate School.

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

fitzpatrick17k

CIM_Second

path-sgd

Path-SGD: Path-Normalized Optimization in Deep Neural Networks

Pruning_filters_for_efficient_convnets

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

tinyml

open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

Synaptic-Flow

Lottery-Ticket-Hypothesis-in-Pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Early-Bird-Tickets

[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks

self-supervised-3d-tasks