Binarized Neural Network (BNN) for pytorch
Binarized Convolutional Neural Networks on Software-Programmable FPGAs
BNN implementation in tensorflow
Bayesian Neural Network in PyTorch
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
BinaryNets in TensorFlow with XNOR GEMM op
Bayesian Neural Networks
Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
Example of Tiny YOLO deployed using Xilinx BNN-PYNQ.
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
Training and Implementation of a CNN for image classification with binary weights and activations on FPGA with HLS tools
This repository contains datasets for network modeling simulated with OMNet++
A Bayesian Neural Network with a horseshoe prior for improved interpretability
System Verilog code describing a fully combinational binarized neural network.
Implement of BNN(binary neuron network) ,TWN (Tenary weight Network),DoReFaNet, and QUAN on matconvnet.
Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
Binary Neurons Network (BNN). This is an attempt to create artificial intelligence in the original meaning: AGI, Strong AI, HLAI, True AI.
Binary Neural Network on IceStick FPGA.
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）