snuspl/cruise
Cruise: A Distributed Machine Learning Framework with Automatic System Configuration
Cruise is a framework designed for developers building large-scale machine learning systems. It helps manage the complexities of distributed computing for training models and processing graph-structured data. Developers input their machine learning algorithms or graph processing tasks, and Cruise handles the underlying system configuration and resource management to output efficiently trained models or processed data.
No commits in the last 6 months.
Use this if you are a developer building distributed machine learning applications and need to manage asynchronous training with parameter servers or process extensive graph data.
Not ideal if you are a data scientist or machine learning practitioner looking for a high-level library to quickly train models without delving into distributed system architecture.
Stars
26
Forks
2
Language
Java
License
Apache-2.0
Category
Last pushed
Mar 19, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/snuspl/cruise"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
oracle/tribuo
Tribuo - A Java machine learning library
o19s/elasticsearch-learning-to-rank
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Waikato/meka
Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
Waikato/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine...
allegro/allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.