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adanet

Fast and flexible AutoML with learning guarantees.

auto-sklearn

Automated Machine Learning with scikit-learn

autokeras

accessible AutoML for deep learning.

docker_img

egads

Extendible Generic Anomaly Detection System

financeops

Research in investment finance with Python Notebooks

gardener

Kubernetes API server extension and controller manager managing the full lifecycle of conformant Kubernetes clusters (Shoots) as a service on AWS, Azure, GCP, and OpenStack.

incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

kaggle-web-traffic

1st place solution

models

Models and examples built with TensorFlow

neural-net-with-financial-time-series-data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

paper-list-of-time-series-forecasting-with-deep-learning

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

robo

RoBO: a Robust Bayesian Optimization framework

scikit-learn

scikit-learn: machine learning in Python

smac3

Sequential Model-based Algorithm Configuration

sqlalchemy-hana

SQLAlchemy Dialect for SAP HANA

statsmodels

Statsmodels: statistical modeling and econometrics in Python

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorforce

TensorForce: A TensorFlow library for applied reinforcement learning

transmogrifai

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

xgboost

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, Flink and DataFlow