compose vs H2O

compose

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning. (by alteryx)

#Machine Learning #Automl #prediction-engineering #prediction-problem #Data Science #labeling-tool #Labeling #AI #training-data #data-labeling

Source Code

compose.alteryx.com

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. (by h2oai)

Source Code

h2o.ai

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compose		H2O
	Project
1	Mentions	7
411	Stars	6,196
1.7%	Growth	1.2%
6.0	Activity	9.8
1 day ago	Latest Commit	1 day ago
Python	Language	Jupyter Notebook
BSD 3-clause "New" or "Revised" License	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.

compose

Posts with mentions or reviews of compose. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-31.

20+ Free Tools & Resources for Machine Learning
5 projects | dev.to | 31 Mar 2022

Compose Compose targets labeling raw data, allowing you to set labeling functions for your data in Python in order to make the labeling process easier.

H2O

Posts with mentions or reviews of H2O. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-14.

A Tiny Grammar of Graphics
4 projects | news.ycombinator.com | 14 Jun 2022
20+ Free Tools & Resources for Machine Learning
5 projects | dev.to | 31 Mar 2022

H2O.ai H2O is a deep learning tool built in Java. It supports most widely used machine learning algorithms and is a fast, scalable machine learning application interface used for deep learning, elastic net, logistic regression, and gradient boosting.
Data Science Competition
15 projects | dev.to | 25 Mar 2022

H20

What are some alternatives?

When comparing compose and H2O you can also consider the following projects:

MLflow - Open source platform for the machine learning lifecycle

scikit-learn - scikit-learn: machine learning in Python

pycaret - An open-source, low-code machine learning library in Python

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Keras - Deep Learning for humans

MindsDB - A low-code Machine Learning platform to help developers build #AI solutions

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

tensorflow - An Open Source Machine Learning Framework for Everyone

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）