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  3. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 11 - 20 of 62
datahub by datahub-project


The Metadata Platform for the Modern Data Stack
metaflow by Netflix


:rocket: Build and manage real-life data science projects with ease!
h2o-3 by h2oai


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.
Neuraxle by Neuraxio


A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
flink by apache


Apache Flink
bonobo by python-bonobo


Extract Transform Load for Python 3.5+
tfx by tensorflow


TFX is an end-to-end platform for deploying production ML pipelines
flyte by flyteorg


Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
data-validation by tensorflow


Library for exploring and validating machine learning data
quilt by quiltdata


Quilt is a self-organizing data hub for S3