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.

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

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

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

RETFound - A foundation model for retinal image

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Label line using matplotlib.

LLMs for microplate data

Code accompanying the "Debugging machine learning in production" talk

Decima is a Python library to train sequence models on single-cell RNA-seq data.

Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks

Python program to generate NetworkX graphs from segmented images.

Tools to analyze intestinal organoid imaging at the Martin-Alonso/Oudhoff lab