Distributed-Systems-Guide VS tune

Compare Distributed-Systems-Guide vs tune and see what are their differences.

Distributed-Systems-Guide

Distributed Systems Guide (by mikeroyal)
Distributed Systems Distributed Computing Awesome Distributed distributed-database distributed-storage Machine Learning awesome-distributed-computing high-availability high-performance-computing
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tune

An abstraction layer for parameter tuning (by fugue-project)
parameter-tuning hyperparameter-tuning hyperparameter-optimization Machine Learning Distributed Computing Distributed Distributed Systems
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Distributed-Systems-Guide tune
1 1
22 33
- -
4.2 1.3
over 2 years ago about 1 year ago
Python
- Apache License 2.0
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Distributed-Systems-Guide

Posts with mentions or reviews of Distributed-Systems-Guide. We have used some of these posts to build our list of alternatives and similar projects.

tune

Posts with mentions or reviews of tune. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Distributed-Systems-Guide and tune you can also consider the following projects:

Awesome-Microservices-DotNet - 💎 A collection of awesome training series, articles, videos, books, courses, sample projects, and tools for Microservices in .NET

FEDOT - Automated modeling and machine learning framework FEDOT

storj - Ongoing Storj v3 development. Decentralized cloud object storage that is affordable, easy to use, private, and secure.

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

awesome-tensor-compilers - A list of awesome compiler projects and papers for tensor computation and deep learning.

vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

bagua - Bagua Speeds up PyTorch

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Distributed-Systems-Guide vs Awesome-Microservices-DotNet tune vs FEDOT Distributed-Systems-Guide vs storj tune vs nni Distributed-Systems-Guide vs awesome-tensor-compilers tune vs vizier Distributed-Systems-Guide vs bagua tune vs bagua Distributed-Systems-Guide vs fugue tune vs wandb tune vs Hyperactive tune vs fugue