Working with and contributing to the open source community in data mining, artificial intelligence, and related fields.
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Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
AutoML tools chain
Bolt is a deep learning library with high performance and heterogeneous flexibility.
Scalable Multi-Agent RL Training School for Autonomous Driving
trustworthy AI related projects
Stream Data Mining Library for Spark Streaming
Bayesian optimisation library developped by Huawei Noah's Ark Lab
This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
Code for AAAI 2020 paper, Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks (Disout).
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
[CVPR2020] A Multi-Hypothesis Approach to Color Constancy
stream Machine Learning in C++