Stars
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
A curated list of techniques to avoid posterior collapse
MONAI Versatile Imaging Segmentation and Annotation
Matplotlib styles for scientific plotting
🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096…
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Repository for the Medical Out-of-Distribution Analysis Challenge.
Model interpretability and understanding for PyTorch
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Pytorch implementation of various neural network interpretability methods
Augmentations usage examples for albumentations library
🛠 All-in-one web-based IDE specialized for machine learning and data science.
PyTorch implementation of UNet++ (Nested U-Net).
Latex code for making neural networks diagrams