agaldran's Stars
cesaracebes/centerline_CE
The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy
NataliiaMolch/uq-mia-cookbook
agaldran/justraigs
Our entry to the JustRAIGS challenge on justifiable glaucoma prediction
agaldran/mhml_calibration
Repository for the Multi-Head Multi-Loss Model Calibration paper
ethanweed/pythonbook
Python adaptation of Danielle Navarro's Learning Statistics with R (http://learningstatisticswithr.com/). Work in progress!
MR-HosseinzadehTaher/BenchmarkTransferLearning
Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis
luferrer/expected_cost
Methods for computing the average cost and making Bayes decisions
AlaaLab/ETAB
[ NeurIPS 2022 ] Official Codebase for "ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography"
Guoxoug/ens-div-ood-detect
nathanpainchaud/vital
Personal fork of the `vital` library to iterate on new projects before upstreaming them
agaldran/t3po
Open Set Histological Image Recognition
samuela/git-re-basin
Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
DeepMIALab/UC-NfNet
mdca-loss/MDCA-Calibration
[CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration"
mobarakol/SVLS
sgvaze/osr_closed_set_all_you_need
Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"
cresset-template/cresset
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
bndr/pipreqs
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
hollance/reliability-diagrams
Reliability diagrams visualize whether a classifier model needs calibration
p-lambda/verified_calibration
Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).
ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
moskomule/anatome
Ἀνατομή is a PyTorch library to analyze representation of neural networks
zhang64-llnl/Mix-n-Match-Calibration
dougbrion/pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
faridrashidi/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
nadeemlab/CEP
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
SaynaEbrahimi/UCB
Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
google-research/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ContinualAI/avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.