There are 1 repository under bnn topic.
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-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
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
Highly optimized inference engine for Binarized Neural Networks
Bayesian Neural Network in PyTorch
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.
A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
BNN-to-FPGA framework, written in VHDL and Python
This is a framework for binary neural network based mmclassification
Awesome papers on Neural Networks and Deep Learning
An implementation of the Binarized Neural Networks
Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"
This repository shows different Bayesian Neural Networks available for predictive uncertainty.
Optimization of Transmit Beamforming based on Unsupervised Learning With Channel Covariances for MISO Downlink Assisted by Reconfigurable Intelligent Surfaces
Bayesian Neural Networks with Parallelized Sampling of LogLikelihood
Exploring the link between uncertainty estimates obtained via "exact" Bayesian inference and out-of-distribution (OOD) detection.
Handwritten numbers predicted by bit neural networks
Multi-omics classification on kidney samples exploiting uncertainty-aware models
Collection of my R&D works and implementations in my Airbus Master Thesis
Binarized Neural Networks in Pytorch with a custom CUDA XNOR kernel
How Alien AI Runs A Human Host.
A simple deep neural net class written to work with Numpy and Cupy
(BNN) Brawley News Network