1. ML-Component Development
  2. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 31 - 40 of 224
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
ggplot2 by tidyverse


An implementation of the Grammar of Graphics in R
alibi by SeldonIO


Algorithms for explaining machine learning models
influxdb by influxdata


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