MedSAM2: Segment Anything in 3D Medical Images and Videos

Open source Python library for building bioimage analysis pipelines

Blood Cell Foundation Model based on DINOv2

Transcriptomics-to-Activity Transformer (TAT) is a deep learning model to predict compound bioactivity in a dose-response assay using compound-induced transcriptomic profiles over concentration.

Creating figures and animations for multi-channel images with a focus on microscopy.

Interactive image stack viewing in jupyter notebooks based on ipycanvas and ipywidgets

Codebase for training the SubCell models

This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord

Find profile pairs and compute retrieval metrics between them.

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

A collection of learning resources for curious software engineers

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Material to showcase and test several tools and packages releated to ZEN, CZI image files and python packages related to those topics

A Python module for accessing Hamamatsu DCIMG files

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

This repository contains two datasets with multi-turn adversarial conversations generated by human agents interacting with a dialog model and rated for safety by two corresponding diverse rater pools.

Croissant is a high-level format for machine learning datasets that brings together four rich layers.

Self-supervised models for encoding protein localization patterns from microscopy images

Minimum-distortion embedding with PyTorch

Explanation to key concepts in ML

Images and other data from the JUMP Cell Painting Consortium

Tracking and collecting papers/projects/others related to Segment Anything.

Optimizing the Cell Painting assay for image-based profiling

A large-scale dataset of both raw MRI measurements and clinical MRI images.