1. Model hyperparameter & architecture search
  2. Apache License 2.0
  3. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 1 - 10 of 14
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.
determined by determined-ai


Determined: Deep Learning Training Platform
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.
tfx by tensorflow


TFX is an end-to-end platform for deploying production ML pipelines
autogluon by awslabs


AutoGluon: AutoML for Image, Text, and Tabular Data
keras-tuner by keras-team


Hyperparameter tuning for humans
autokeras by keras-team


AutoML library for deep learning
katib by kubeflow


Repository for hyperparameter tuning
maggy by logicalclocks


Distribution transparent Machine Learning experiments on Apache Spark
NNEF-Tools by KhronosGroup


The NNEF Tools repository contains tools to generate and consume NNEF documents