Open Source Tools for AI-Projects

Displaying 21 - 30 of 106

privacy by tensorflow


Library for training machine learning models with privacy for training data

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

alluxio by Alluxio


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

model-analysis by tensorflow


Model analysis tools for TensorFlow

alibi by SeldonIO


Algorithms for explaining machine learning models

bonobo by python-bonobo


Extract Transform Load for Python 3.5+

kafka by apache


Mirror of Apache Kafka