1. DisoutCode for AAAI 2020 paper, Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks (Disout).
2. PruningCode for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019) and "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020).
4. LegonetA Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
6. GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
7. AddernetCode for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
8. BoltBolt is a deep learning library with high performance and heterogeneous flexibility.
9. StreamdmStream Data Mining Library for Spark Streaming
12. SmartsScalable Multi-Agent RL Training School for Autonomous Driving
14. xingtianxingtian is a componentized library for the development and verification of reinforcement learning algorithms
17. Speech-BackbonesThis is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.
18. BGCNA Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
20. HEBOBayesian optimisation library developped by Huawei Noah's Ark Lab