neural-architecture-search

Open-source projects categorized as neural-architecture-search
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Language: + Python + Jupyter Notebook + C
Topics: Machine Learning Automl Pytorch Deep Learning Python
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Top 15 neural-architecture-search Open-Source Projects

  • nni

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

  • autokeras

    AutoML library for deep learning

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • adanet

    Fast and flexible AutoML with learning guarantees.

  • Awesome-Federated-Learning

    FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

  • AutoDL-Projects

    Automated deep learning algorithms implemented in PyTorch.

  • tinyengine

    [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory (by mit-han-lab)

    • Project mention: [D] Run Pytorch model inference on Microcontroller | /r/MachineLearning | 2023-11-14

    TinyEngine from MCUNet. Looks great, targeting ARM CM4.

  • tinyml-papers-and-projects

    This is a list of interesting papers and projects about TinyML.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Hyperactive

    An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

    • Project mention: Hyperactive Version 4.5 Released | news.ycombinator.com | 2023-08-27

  • archai

    Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

  • syne-tune

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

  • deephyper

    DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

  • Hypernets

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

  • sgas

    SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

  • receptive_field_analysis_toolbox

    A toolbox for receptive field analysis and visualizing neural network architectures

  • GP-CNAS

    Implementation example of GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-11-14.

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Index

What are some of the best open-source neural-architecture-search projects? This list will help you:

Project Stars
1 nni 13,708
2 autokeras 9,065
3 adanet 3,470
4 Awesome-Federated-Learning 1,848
5 AutoDL-Projects 1,541
6 tinyengine 731
7 tinyml-papers-and-projects 653
8 Hyperactive 487
9 archai 451
10 syne-tune 363
11 deephyper 261
12 Hypernets 261
13 sgas 160
14 receptive_field_analysis_toolbox 108
15 GP-CNAS 5

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