bagua VS tune

Compare bagua vs tune and see what are their differences.

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bagua tune
6 1
865 33
0.2% -
4.8 1.3
9 months ago about 1 year ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

bagua

Posts with mentions or reviews of bagua. 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 bagua and tune you can also consider the following projects:

machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

FEDOT - Automated modeling and machine learning framework FEDOT

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

Distributed-Systems-Guide - Distributed Systems Guide

optuna - A hyperparameter optimization framework

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

PERSIA - High performance distributed framework for training deep learning recommendation models based on PyTorch.

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

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

modin - Modin: Scale your Pandas workflows by changing a single line of code

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