An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Matplotlib styles for scientific plotting

The Open Images dataset

Convert Jupyter Notebooks to Web Apps

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

CondenseNet: Light weighted CNN for mobile devices

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

DenseASPP for Semantic Segmentation in Street Scenes

DropNeuron: Simplifying the Structure of Deep Neural Networks

Compressed Sensing Algorithms for Sample Pooling and Testing using qPCR