dewenzeng

isic2019

Code for the ISIC2019 Challenge

TERM

Tilted Empirical Risk Minimization (ICLR '21)

ditto

Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)

FedNova

PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.

fair_flearn

Fair Resource Allocation in Federated Learning (ICLR '20)

solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients

[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

sasan

SASAN

segmentation_uncertainty

uncertainty-metrics

Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Google and the open-source community.

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

uncertainty_estimation_deep_learning

This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).

aics-ml-segmentation

aics-segmentation

Part 1 of Allen Cell and Structure Segmenter: classic image segmentation workflow

MedUncertainty

Uncertainty in Medical Image Analysis

COVID-19-CT-Seg-Benchmark

A Benchmark for Lung and Infection Segmentation in COVID-19 CT scans

SegLossOdyssey

A collection of loss functions for medical image segmentation

MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers

pygcn

Graph Convolutional Networks in PyTorch

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

gcn_refinement

lungVAE

This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selvan et al. 2020

PyG2Plot

🎨 Python3 binding for `@AntV/G2Plot` Plotting Library .

FeatureLearningRotNet

domain_specific_cl

Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"

catheter_detection

Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

grad-cam

[ICCV 2017] Torch code for Grad-CAM