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HUAWEI Noah's Ark Lab

Working with and contributing to the open source community in data mining, artificial intelligence, and related fields

  • 10 produits actifs

Portefeuille de produits consolidé

  • BGCN

    A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

    Machine Learning Model TrainingOpen Source
  • BHT-ARIMA

    Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

    Database AdministrationOpen Source
  • Disout

    Code for AAAI 2020 paper, Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks (Disout).

    Machine Learning Model TrainingOpen Source
  • Efficient-AI-Backbones

    Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

    Compression OptimizationOpen Source
  • Efficient-Computing

    Efficient computing methods developed by Huawei Noah's Ark Lab

    Compression OptimizationOpen Source
  • Pretrained-Language-Model

    Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

    Compression OptimizationOpen Source
  • SMARTS

    Scalable Multi-Agent RL Training School for Autonomous Driving

    Machine Learning Model TrainingOpen Source
  • Speech-Backbones

    This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

    TranscriptionOpen Source
  • streamDM

    Stream Data Mining Library for Spark Streaming

    Data StreamingOpen Source
  • trustworthyAI

    Trustworthy AI related projects

    Machine Learning Model TrainingOpen Source

Profil de l'entreprise et stratégie

Travaillant avec et contribuant à la communauté open source dans le domaine de l'exploration de données, de l'intelligence artificielle et des domaines connexes. HUAWEI Noah's Ark Lab maintient 8 projets open source sur GitHub, y compris Pretrained-Language-Model, Efficient-Computing et trustworthyAI. Langages principaux : Python, Jupyter Notebook, Scala.

Empreinte open source

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