binary-neural-networks

(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet

BinaryNets in TensorFlow with XNOR GEMM op

Binary Neural Network Framework for FPGA(Differentiable LUT)

Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network

The collection of training tricks of binarized neural networks.

Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.

This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

PyTorch implementation of Local Binary Convolutional Neural Network http://xujuefei.com/lbcnn.html

[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang

PyTorch implementation of binary neural networks

[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"

Binary neural networks developed by Huawei Noah's Ark Lab

BITorch: Open-Source Implementation of Binary Neural Networks with PyTorch

System Verilog code describing a fully combinational binarized neural network.

Proximal Mean-field for Neural Network Quantization

Tricks for Accelerating (encrypted) Prediction As a Service