stream Machine Learning in C++

Stream Data Mining Library for Spark Streaming

A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).

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

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

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

Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020) and “Manifold Regularized Dynamic Ne…

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

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

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

[CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search

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

Trustworthy AI related projects

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

Efficient computing methods developed by Huawei Noah's Ark Lab

Caffe: a fast open framework for deep learning.

some real example of machine learn algorithm

Models and examples built with TensorFlow

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Tensorflow tutorial from basic to hard

Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

NumPy aware dynamic Python compiler using LLVM

Matlab Program for Automated Ultrasound Blood Flow Analysis