bnn topic

Bayesian Neural Network in PyTorch

anassinator

Highly optimized inference engine for Binarized Neural Networks

larq

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-Ar...

666DZY666

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.

caiyuanhao1998

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

AdamCobb

The collection of training tricks of binarized neural networks.

HolmesShuan

System Verilog code describing a fully combinational binarized neural network.

EEESlab

[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"

yikaiw

This project is the official implementation of 'Basic Binary Convolution Unit for Binarized Image Restoration Network', ICLR2023

Zj-BinXia

A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)

caiyuanhao1998