micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Ari...
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.
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
This project is the official implementation of 'Basic Binary Convolution Unit for Binarized Image Restoration Network', ICLR2023
The collection of training tricks of binarized neural networks.
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
System Verilog code describing a fully combinational binarized neural network.
[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"
#计算机科学#A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
#计算机科学#This project aims to integrate Domain Knowledge with Bayesian Deep Learning through an intuitive Active Learning interface
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
Optimization of Transmit Beamforming based on Unsupervised Learning With Channel Covariances for MISO Downlink Assisted by Reconfigurable Intelligent Surfaces
This is a framework for binary neural network based mmclassification
#Awesome#Awesome papers on Neural Networks and Deep Learning
The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.
#计算机科学#Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"