Open Source Tools for AI-Projects

Displaying 11 - 20 of 130

pachyderm by pachyderm


The Complete MLOps Stack

marquez by MarquezProject


Collect, aggregate, and visualize a data ecosystem's metadata

streamlit by streamlit


Streamlit — The fastest way to build data apps in Python

dagster by dagster-io


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

transformers by huggingface


🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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