Projects

A list of involved open-source projects.

PMC Member:

Apache MXNet


Flexible and Efficient Deep Learning Library on Heterogeneous Distributed Systems

XGBoost

General-purpose Gradient Boosting Library

Committer / Maintainer:

TensorFlow

Numerical Computation Library Using Data Flow Graphs for Scalable Machine Learning

TensorFlow I/O

Datasets and Filesystem Extensions for TensorFlow

Kubeflow

Machine Learning Toolkits on Kubernetes. Maintainer of Kubeflow Common, MPI Operator, and XGBoost Operator

Author:

ggfortify

Unified Interface to Visualize Popular Statistical R Packages with ggplot2 Style

autoplotly

R Package for Automatic Generation of Interactive Visualizations for Popular Statistical Results

reticulate

R Interface to Python - Comprehensive Set of Tools for Interoperability between Python and R

TensorFlow in R

R Interfaces to Core TensorFlow Components, including Estimators, Keras, and Datasets API

ONNX in R

R Interface to Open Neural Network Exchange (ONNX)

h2o4gpu

A Collection of GPU Solvers for Machine Learning Algorithms

dml

R Package for Distance Metric Learning

lfda

R Package for Local Fisher Discriminant Analysis

jpmml-sparkml-lightgbm

JPMML-SparkML plugin for converting LightGBM-Spark models to PMML

Contributor:

H2O

In-memory Platform for Distributed and Scalable Machine Learning

caret

R Package to Streamline the Process for Creating Predictive Machine Learning Models

metric-learn

Python Package for State-of-art Metric Learning Algorithms

MMLSpark

Microsoft Machine Learning for Apache Spark

pandas

Flexible and Powerful Data Analysis / Manipulation Library for Python