DLwbm123

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.

MobileSAM

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

torchtune

A Native-PyTorch Library for LLM Fine-tuning

MedSAM

Segment Anything in Medical Images

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"

Awesome-Foundation-Models-in-Medical-Imaging

A curated list of foundation models for vision and language tasks in medical imaging

llm-continual-learning-survey

Continual Learning of Large Language Models: A Comprehensive Survey

SSL-FL

Self-supervised Federated Learning for Medical Imaging - IEEE TMI

cem

Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"

finetune-SAM

This is an official repo for fine-tuning SAM to customized medical images.

SEED

ICLR2024 paper on Continual Learning

LongTailCXR

[DALI 2022] "Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study" by Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, Ronald M. Summers, Yifan Peng, and Zhangyang Wang

ULS23

Repository for the Universal Lesion Segmentation Challenge '23

DEviS

Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty

TPL

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

ICLR2024-REDL

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

petal

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

EvidentialTuringProcess

Evidential Calibration

SLM

nfts-public

EBTSA-ICLR2023

Awesome-Continual-Test-Time-Adaptation

varigrow

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

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.

cub-s

Dataset of soft labels over portion of CUB Bird Image Dataset

ggf

nfts-public

distinction-maximization-loss

Improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

LDU

Latent Discriminant deterministic Uncertainty [ECCV2022]