Starred repositories
Official implementation of MuViT (CVPR 2026), a ViT-based architecture for multi-scale modelling of gigapixel microscopy images.
dtour: a tour-de-vis through high-dimensional data
Python package for making UMAP interpretable with exact feature contributions
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.
A hierarchical variational autoencoder based method for semantic segmentation of Electron Microscopy data.
ngio is a Python library to streamline OME-Zarr image analysis workflows.
Scientific image analysis resources and software tools.
nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new stan…
A little word cloud generator in Python
Next-gen fast plotting library running on WGPU using the pygfx rendering engine
⚡ A fast Git hook manager written in Rust, designed as a drop-in alternative to pre-commit, reimagined.
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
napari: a fast, interactive, multi-dimensional image viewer for python
Deformable Convolutional Networks
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Interactive Pytorch forward pass visualization in notebooks
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Image reading, metadata management, and image writing for Microscopy images in Python