BBCU

Efficient computing methods developed by Huawei Noah's Ark Lab

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

Highly optimized inference engine for Binarized Neural Networks

Binary Neural Network Framework for FPGA(Differentiable LUT)

Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.

Pytorch implementation of BiFSMNv2, TNNLS 2023

A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA

本项目旨在通过直观的主动学习界面，将领域知识与贝叶斯深度学习相结合。

This project aims to integrate Domain Knowledge with Bayesian Deep Learning through an intuitive Active Learning interface

Optimization of Transmit Beamforming based on Unsupervised Learning With Channel Covariances for MISO Downlink Assisted by Reconfigurable Intelligent Surfaces