Open Source Tools for AI-Projects

Displaying 31 - 40 of 301
druid by apache


Apache Druid: a high performance real-time analytics database.
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.
polyaxon by polyaxon


Machine Learning Management & Orchestration Platform (Monorepo for Polyaxon's MLOps Tools)
transformers by huggingface


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


Library for training machine learning models with privacy for training data
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.