Open Source Tools for AI-Projects

Displaying 11 - 20 of 47

pytorch-lightning by PyTorchLightning


The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

dagster by dagster-io


An orchestration platform for the development, production, and observation of data assets.

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.

alluxio by Alluxio


Alluxio, data orchestration for analytics and machine learning in the cloud

influxdb by influxdata


Scalable datastore for metrics, events, and real-time analytics

bonobo by python-bonobo


Extract Transform Load for Python 3.5+

kafka by apache


Mirror of Apache Kafka

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.

quilt by quiltdata


Quilt is a self-organizing data hub for S3