trainset VS compose

Compare trainset vs compose and see what are their differences.

trainset

A lightweight web application for brushing labels onto time series data; useful for building training sets. (by Geocene)

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)
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trainset compose
12 1
160 493
0.0% 1.0%
0.0 0.0
over 1 year ago 2 months ago
JavaScript Python
MIT License BSD 3-clause "New" or "Revised" License
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.

trainset

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

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.

What are some alternatives?

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

snorkel - A system for quickly generating training data with weak supervision

DeepLearningKit - Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS -

snorkel - A system for quickly generating training data with weak supervision [Moved to: https://github.com/snorkel-team/snorkel]

H2O - 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.

hover - :speedboat: Label data at scale. Fun and precision included.

Keras - Deep Learning for humans

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