huawei-noah/Federated-Learning

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Python
Created over 1 year ago
Updated 10 months ago

huawei-noah/Federated-Learning

huawei-noah

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Efficient-AI-Backbones

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

HEBO

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

Jupyter Notebook

Pretrained-Language-Model

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

Efficient-Computing

Efficient computing methods developed by Huawei Noah's Ark Lab

Jupyter Notebook

AdderNet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

trustworthyAI

Trustworthy AI related projects

SMARTS

Scalable Multi-Agent RL Training School for Autonomous Driving

bolt

Bolt is a deep learning library with high performance and heterogeneous flexibility.

noah-research

vega

AutoML tools chain

VanillaNet

Speech-Backbones

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

Jupyter Notebook

streamDM

Stream Data Mining Library for Spark Streaming

Pretrained-IPT

xingtian

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

benchmark

Disout

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

BGCN

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

BHT-ARIMA

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

multi_hyp_cc

[CVPR2020] A Multi-Hypothesis Approach to Color Constancy

Efficient-NLP

streamDM-Cpp

stream Machine Learning in C++