HUAWEI Noah's Ark Lab

Repositories

• AdderNet

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

  pytorch imagenet convolutional-neural-networks efficient-inference cvpr2020
  Python BSD-3-Clause 80 475 8 0 Updated Jun 25, 2020

• ghostnet

  [CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"

  tensorflow imagenet convolutional-neural-networks cvpr model-compression mobilenet efficient-inference
  Python Apache-2.0 160 893 6 0 Updated Jun 22, 2020

• vega

  AutoML tools chain
  0 1 0 0 Updated Jun 20, 2020

• bolt

  Bolt is a deep learning library with high performance and heterogeneous flexibility.
  C++ MIT 64 331 1 0 Updated Jun 18, 2020

• noah-research

  Noah Research
  1 2 0 0 Updated Jun 18, 2020

• multi_hyp_cc

  [CVPR2020] A Multi-Hypothesis Approach to Color Constancy

  pytorch convolutional-neural-networks cvpr whitebalance color-constancy cvpr2020
  Python 4 12 1 0 Updated Jun 15, 2020

• trustworthyAI

  trustworthy AI related projects
  Python 19 83 0 1 Updated May 19, 2020

• Disout

  Code for AAAI 2020 paper, Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks (Disout).
  Python BSD-3-Clause 30 176 1 0 Updated May 15, 2020

• Data-Efficient-Model-Compression

  Data Efficient Model Compression

  knowledge-distillation model-compression
  Python BSD-3-Clause 74 314 4 0 Updated May 8, 2020

• Pretrained-Language-Model

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

  knowledge-distillation model-compression pretrained-language-model
  Python 186 1,014 44 0 Updated Apr 26, 2020

• CARS

  [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search
  16 90 3 0 Updated Mar 23, 2020

• BHT-ARIMA

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

  time-series tensor-factorization tensor-decomposition arima-forecasting
  Python MIT 15 26 1 0 Updated Feb 28, 2020

• GAN-pruning

  A Pytorch implementation of "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019).
  Python BSD-3-Clause 18 126 8 0 Updated Nov 25, 2019

• Full-Stack-Filters

  Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs

  convolutional-neural-networks model-compression
  Python BSD-3-Clause 6 14 0 0 Updated Sep 10, 2019

• Versatile-Filters

  Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)

  convolutional-neural-networks model-compression
  Python BSD-3-Clause 15 72 0 0 Updated Sep 10, 2019

• BGCN

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

  gcn bayesian-neural-networks graph-convolutional-network graph-learning graph-neural-networks graph-convolutional-neural-networks gnn
  Python MIT 26 75 1 0 Updated Sep 8, 2019

• LegoNet

  A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
  Python BSD-3-Clause 7 129 0 0 Updated Sep 5, 2019

• streamDM

  Stream Data Mining Library for Spark Streaming
  Scala Apache-2.0 141 440 2 2 Updated Jul 30, 2019

• streamDM-Cpp

  stream Machine Learning in C++
  C++ 31 50 3 0 Updated Jul 2, 2015