talk I gave at Iowa State in 2013

Ensembling and kalman smoothing for pose estimation

Variational Animal Motion Embedding - A tool for time series embedding and clustering

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy https://visdom.dev

Behavior Classifier Component from the Jax Animal Behavior System

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

Tool to facilitate genetic quality assurance of mice using genotype data derived from genotyping platforms such as GigaMUGA and MegaMUGA

A Web Audio framework for making interactive music in the browser.

A PyTorch Library for Accelerating 3D Deep Learning Research

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

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

Semantic Segmentation Architectures Implemented in PyTorch

Pytorch implementation of RetinaNet object detection.

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Train AI models efficiently on medical images using any framework

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

COCO API - Dataset @ http://cocodataset.org/

LLVM bindings for F#

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

A topic-centric list of HQ open datasets.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)