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  3. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 1 - 10 of 16
ray by ray-project


An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
edgedb by edgedb


A next-generation graph-relational database.
mindsdb by mindsdb


In-Database Machine Learning
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.
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.
bonobo by python-bonobo


Extract Transform Load for Python 3.5+
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.
modin by modin-project


Modin: Speed up your Pandas workflows by changing a single line of code
feast by feast-dev


Feature Store for Machine Learning