Neural Architecture Search Python Packages

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

kubeflow-katib-api

Automated Machine Learning on Kubernetes

hpbandster

a distributed Hyperband implementation on Steroids

autokeras

AutoML library for deep learning

kubeflow-katib

Automated Machine Learning on Kubernetes

deephyper

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

hyperactive

A unified interface for optimization algorithms and experiments

syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

e2eaiok

Intel® End-to-End AI Optimization Kit

hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

e2eaiok-denas

Intel® End-to-End AI Optimization Kit

neural-pipeline-search

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

e2eaiok-modeladapter

Intel® End-to-End AI Optimization Kit

e2eaiok-sda

Intel® End-to-End AI Optimization Kit

adanet

Fast and flexible AutoML with learning guarantees.

nni-daily

Neural Network Intelligence package

betty-ml

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

myylearn

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

rfa-toolbox

A toolbox for analyzing the receptive field expansion in neural networks.

neural-dsl

A domain-specific language and debugger for neural networks

bristol

Parallel random matrix tools and complexity for deep learning

pyrecdp

Intel® End-to-End AI Optimization Kit

xautodl

Automated deep learning algorithms implemented in PyTorch.

deepswarm

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