DLwbm123

The-Python-Graph-Gallery

A website displaying hundreds of charts made with Python

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

InfoBatch

Lossless Training Speed Up by Unbiased Dynamic Data Pruning

MEDIAR

(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"

SSL-FL

Self-supervised federated learning for medical imaging

NP-SemiSeg

A Pytorch implementation of ICML 2023 paper "NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation"

DEviS

Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty

ULS23

Repository for the Universal Lesion Segmentation Challenge '23

unified-continual-learning

[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

ICLR2024-REDL

[ICLR 2024] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning

TPL

✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction

petal

Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)

curvlinops

scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch

EvidentialTuringProcess

Evidential Calibration

EvidentialADA

Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]

dro

A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch

nfts-public

EBTSA-ICLR2023

do_bnns_need_to_be_fully_stochastic

Awesome-Continual-Test-Time-Adaptation

CL-refresh-learning

A Unified and General Framework for Continual Learning, ICLR 2024

SSVI

torchrsvd

(fast randomized SVD for pytorch)

ISL

varigrow

[ICML 2022] VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty

HNPs

RelayLearning

An offline deep learning paradigm providing physical data security in multi-site medical deep learning

FedFisher

Code for the paper "FedFisher: Leveraging Fisher Information for One-Shot Federated Learning" by Divyansh Jhunjhunwala, Shiqiang Wang, and Gauri Joshi, published in AISTATS 2024.

nfts-public

ggf