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...
翻译 - 基于pytorch的模型压缩（1，量化：8/4 / 2bits（dorefa），三进制/二进制值（twn / bnn / xnornet）； 2，修剪：常规，常规和组卷积通道修剪； 3，组卷积结构； 4，特征（A）的二进制值的分批归一化折叠）
#计算机科学#BinaryNets in TensorFlow with XNOR GEMM op
XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
#计算机科学#An implementation of a variation of Sketch-A-Net using XNOR ConvNets using TensorFlow
XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe
#计算机科学#A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
A hardware implementation of a feed-forward Convolutional Neural Network called XNOR-Net which has faster execution due to the replacement of vector-matrix multiplication to “XNOR + Popcount” operatio...
Markov Chain Monte Carlo binary network optimization
#计算机科学#Official repository for the research article "Pruning vs XNOR-Net: A ComprehensiveStudy on Deep Learning for AudioClassification in Microcontrollers"
XNOR-Net with binary conv2d kernels with XNOR GEMM op, support both CPU and GPU.
Binarized Neural Networks in Pytorch with a custom CUDA XNOR kernel
A simple and very crude ann predicting xnor written from scratch using numpy