9 open source projects by ray-project

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

2. Tune Sklearn

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

✭ 241

python scikit-learn automl bayesian-optimization hyperparameter-tuning

3. Tutorial

✭ 602

jupyter-notebook

4. mobius

Mobius is an AI infra platform including realtime computing and training.

✭ 22

java C++python cython Starlark c shell training machine-learning streaming realtime distributed-computing fusion

5. ray shuffling data loader

A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed training of machine learning models.

✭ 16

python shell

6. ray-legacy

An experimental distributed execution engine

✭ 19

python C++Protocol Buffer CMake shell c

7. deltacat

A Pythonic Data Catalog powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your big data workloads.

✭ 39

python

8. kuberay

A toolkit to run Ray applications on Kubernetes

✭ 146

go python Makefile shell Mustache Dockerfile kubernetes machine-learning deployment apache ray

9. distml

Distributed ML Optimizer

✭ 27

python shell

1-9 of 9 user projects