Tensors and Dynamic neural networks in Python with strong GPU acceleration

Models and examples built with TensorFlow

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

The fundamental package for scientific computing with Python.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Python bindings for FFmpeg - with complex filtering support

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

A PyTorch implementation of EfficientNet

AI Toolkit for Healthcare Imaging

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

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

napari: a fast, interactive, multi-dimensional image viewer for python

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

Generic U-Net Tensorflow implementation for image segmentation

World's first general purpose 3D object detection codebse.

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

📊 Benchmark multiple object trackers (MOT) in Python

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

Next-gen fast plotting library running on WGPU using the pygfx rendering engine

StarDist - Object Detection with Star-convex Shapes

Corruption and Perturbation Robustness (ICLR 2019)

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

Research. Shared.

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

🐍 Example Python project using best practices 🥇

A Python package to visualise neuroanatomical data in atlas space

Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)