Al3n70rn

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

vizro

Vizro is a toolkit for creating modular data visualization applications.

norfair

Lightweight Python library for adding real-time multi-object tracking to any detector.

Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

OneFormer

OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023

point-cloud-utils

An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

heudiconv

A flexible DICOM converter for organizing brain imaging data into structured directory layouts

TransPath

mmvae

Multimodal Mixture-of-Experts VAE

GeometricKernels

Geometric kernels on manifolds, meshes and graphs

fusilli

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

HistoSSLscaling

Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

celldetection

Instance Segmentation with PyTorch & PyTorch Lightning.

mcmicro

Multiple-choice microscopy pipeline

ark-analysis

Integrated pipeline for multiplexed image analysis

scimap

Spatial Single-Cell Analysis Toolkit

multi-view-AE

Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.

ENVI

Raidionics

Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes

imcyto

Image Mass Cytometry analysis pipeline

deepglioma

AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging

HistoMIL

A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.

EmbedTrack

HYFA

Hypergraph Factorisation

anomaly-detection-in-histology

Learning image representations for anomaly detection: application to discovery of histological alterations in drug development

imc

A package for the analysis of Imaging Mass Cytometry data

semi-supervised-multiview-cbm

Concept bottleneck models for multiview data with incomplete concept sets

efficient-cell-seg

EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring

PriorCVAE

py-imcyto

IMC segmentation in python.