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.
-
Updated
Jun 17, 2024 - Python
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.
Optimization of Transmit Beamforming based on Unsupervised Learning With Channel Covariances for MISO Downlink Assisted by Reconfigurable Intelligent Surfaces
Bayesian Neural Network in PyTorch
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
This project is the official implementation of 'Basic Binary Convolution Unit for Binarized Image Restoration Network', ICLR2023
A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
Neural Property Approximate Quantifier
The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.
BiDet implement
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"
This is a framework for binary neural network based mmclassification
This repository shows different Bayesian Neural Networks available for predictive uncertainty.
How Alien AI Runs A Human Host.
An implementation of the Binarized Neural Networks
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、reg…
BNN-to-FPGA framework, written in VHDL and Python
Bayesian Neural Networks with Parallelized Sampling of LogLikelihood
A simple deep neural net class written to work with Numpy and Cupy
Add a description, image, and links to the bnn topic page so that developers can more easily learn about it.
To associate your repository with the bnn topic, visit your repo's landing page and select "manage topics."