Projects

A list of involved open-source projects.
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PMC Member:

Apache MXNet


Flexible and Efficient Deep Learning Library on Heterogeneous Distributed Systems

XGBoost

General-purpose Gradient Boosting Library

Committer / Maintainer:

TensorFlow

End-to-end Open Source Platform for Machine Learning. One of the Main Developers of TensorFlow Estimators and Maintainer of TensorFlow I/O

Kubeflow

Machine Learning Toolkits on Kubernetes. Co-chair of Distributed Training Working Group and Maintainer of Various Kubernetes Operators

Couler

Unified Interface for Constructing and Managing Workflows on Various Cloud-native Workflow Orchestration Engines

ElasticDL

Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling

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)

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

metric-learn

Python Package for State-of-art Metric Learning Algorithms

scaffolder

Tools to Automate Scaffolding R Interfaces to Packages in Other Programming Languages

ftlib

Fault-tolerant Library for Deep Learning Frameworks

Contributor:

Argo Workflows

Container-native Workflow Engine for Orchestrating Parallel Jobs on Kubernetes

SQLFlow

A Bridge That Connects SQL Engines to Machine Learning Toolkits

H2O

In-memory Platform for Distributed and Scalable Machine Learning. Also authored h2o4gpu R Package.

caret

R Package for Training Classification and Regression Models

MMLSpark

Microsoft Machine Learning for Apache Spark

pandas

Flexible and Powerful Data Analysis / Manipulation Library for Python

Advisor:

data-describe

Python Toolkit for Exploratory Data Analysis that Accelerates Data Exploration and Analysis with Automated and Polished Analysis Widgets