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Neural Architecture Search Python Packages

Python packages with the GitHub topic neural-architecture-search. Sorted by monthly downloads, with stars and forks.
Microsoft
nni

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

25K 14K 2K
kubeflow
kubeflow-katib-api

Automated Machine Learning on Kubernetes

17K 2K 547
keras-team
autokeras

AutoML library for deep learning

9K 9K 1K
kubeflow
kubeflow-katib

Automated Machine Learning on Kubernetes

8K 2K 547
automl
hpbandster

a distributed Hyperband implementation on Steroids

5K 632 106
SimonBlanke
hyperactive

A unified interface for optimization algorithms and experiments

4K 550 72
intel
e2eaiok

Intel® End-to-End AI Optimization Kit

2K 30 21
syne-tune
syne-tune

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

1K 425 57
DataCanvasIO
hypernets

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

1K 266 40
deephyper
deephyper

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

1K 311 66
automl
neural-pipeline-search

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

1K 88 21
pedrovergueiro
dnaty

Compress PyTorch models for edge devices — CPU-only, no GPU, no retraining. One function call.

1K 1 0
tensorflow
adanet

Fast and flexible AutoML with learning guarantees.

525 3K 522
intel
e2eaiok-sda

Intel® End-to-End AI Optimization Kit

468 30 21
Microsoft
nni-daily

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

437 14K 2K
DataCanvasIO
myylearn

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

423 266 40
intel
e2eaiok-denas

Intel® End-to-End AI Optimization Kit

418 30 21
MLRichter
rfa-toolbox

A toolbox for receptive field analysis and visualizing neural network architectures

380 118 5
msuzen
bristol

Parallel random matrix tools and complexity for deep learning

352 33 13
leopard-ai
betty-ml

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

346 348 28
intel
pyrecdp

Intel® End-to-End AI Optimization Kit

338 30 21
microsoft
nn-meter

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

292 365 67
alison-carrera
onn

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

250 192 44
intel
deltatuner

Intel® End-to-End AI Optimization Kit

199 30 21
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology