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
This project is the official implementation of 'Basic Binary Convolution Unit for Binarized Image Restoration Network', ICLR2023
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.
[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"
A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
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
This is a framework for binary neural network based mmclassification
Awesome papers on Neural Networks and Deep Learning
BNN-to-FPGA framework, written in VHDL and Python
Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"
The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.
This repository shows different Bayesian Neural Networks available for predictive uncertainty.
Exploring the link between uncertainty estimates obtained via "exact" Bayesian inference and out-of-distribution (OOD) detection.
An implementation of the Binarized Neural Networks
Bayesian Neural Networks with Parallelized Sampling of LogLikelihood
NetDrift simulates and profiles BNNs on unreliable RTM
High-Performance Binary Neural Networks for MNIST Classification: From Software to ASIC
Collection of my R&D works and implementations in my Airbus Master Thesis
Binarized Neural Networks in Pytorch with a custom CUDA XNOR kernel
Handwritten numbers predicted by bit neural networks
Multi-omics classification on kidney samples exploiting uncertainty-aware models
Binarized Neural Network (BNN) implementation using TensorFlow 2 and PyTorch, with inference using Numpy and C.
How Alien AI Runs A Human Host.
Deploying Binary Neural Network (BNN) implementation on Unity using C# and Compute Shader.
Experimenting with Bayesian LSTMs to Model Mortality