Python Distributed-serving Resources

Apache MXNet (incubating) for Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to m

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l

Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a

Version: 5.0.5 (singularity) Web: http://celeryproject.org/ Download: https://pypi.org/project/celery/ Source: https://github.com/celery/celery/ Keywo

xdist: pytest distributed testing plugin The pytest-xdist plugin extends pytest with some unique test execution modes: test run parallelization: if yo

A multiprocessing distributed task queue for Django Features Multiprocessing worker pool Asynchronous tasks Scheduled, cron and repeated tasks Signed

Cola: high-level distributed crawling framework Overview Cola is a high-level distributed crawling framework, used to crawl pages and extract structur

Gerapy Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Documentation Documentation

WhiteNoise Radically simplified static file serving for Python web apps With a couple of lines of config WhiteNoise allows your web app to serve its o

UltraOpt : Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. UltraOpt is a simple and efficient library to minimize expensive

Hyrule Compendium API An API serving data on all creatures, monsters, materials, equipment, and treasure in The Legend of Zelda: Breath of the Wild. B

Coach Coach is a python reinforcement learning framework containing implementation of many state-of-the-art algorithms. It exposes a set of easy-to-us

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

MRQ MRQ is a distributed task queue for python built on top of mongo, redis and gevent. Full documentation is available on readthedocs Why? MRQ is an

dramatiq A fast and reliable distributed task processing library for Python 3. Changelog: https://dramatiq.io/changelog.html Community: https://groups

Determined: Deep Learning Training Platform Determined is an open-source deep learning training platform that makes building models fast and easy. Det

Accelerated deep learning R&D PyTorch framework for Deep Learning research and development. It focuses on reproducibility, rapid experimentation, and

The easiest way to build Machine Learning APIs BentoML makes moving trained ML models to production easy: Package models trained with any ML framework

Apache MXNet (incubating) for Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to m

DEAP DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data stru

Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a

Run inference at scale Cortex is an open source platform for large-scale machine learning inference workloads. Workloads Realtime APIs - respond to pr

Couler What is Couler? Couler aims to provide a unified interface for constructing and managing workflows on different workflow engines, such as Argo

CNTK Chat Windows build status Linux build status The Microsoft Cognitive Toolkit (https://cntk.ai) is a unified deep learning toolkit that describes

eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l

H2O H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Fl

Cola: high-level distributed crawling framework Overview Cola is a high-level distributed crawling framework, used to crawl pages and extract structur

Python Stream Processing Version: 1.10.4 Web: http://faust.readthedocs.io/ Download: http://pypi.org/project/faust Source: http://github.com/robinhood

Ray provides a simple, universal API for building distributed applications. Ray is packaged with the following libraries for accelerating machine lear

Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a

Apache MXNet (incubating) for Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to m

Flower Flower is a web based tool for monitoring and administrating Celery clusters. Features Real-time monitoring using Celery Events Task progress a