Modern documentation for modern C++. Configure with YAML, output Markdown, post-process with Material for MkDocs.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Reinforcement Learning in PyTorch

A toolkit for developing and comparing reinforcement learning algorithms.

High-performance Toolkit for WebGL-based Data Visualization

WebGL2 powered visualization framework

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…

Deep universal probabilistic programming with Python and PyTorch

A highly efficient implementation of Gaussian Processes in PyTorch

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Hacking the next gen cyto classifier

⬛ 🔴 Generate shapes for object detection algorithms

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Keras package for deep residual networks

Community-contributed and experimental CellProfiler modules.

Single-cell analysis in Python. Scales to >100M cells.

An Open Source Machine Learning Framework for Everyone

Keras package for region-based convolutional neural networks (RCNNs)

Deep Learning for humans

Plotting library for IPython/Jupyter notebooks

R-FCN with joint training and python support

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

An open-source application for biological image analysis

Open-source software for exploring and analyzing large, high-dimensional image-derived data.