Alternatives and similar repositories for Gated-XNOR

Users that are interested in Gated-XNOR are comparing it to the libraries listed below

• da-steve101 / binary_connect_cifar
  An implementation of a BinaryConnect network for cifar10
  ☆11Updated 6 years ago
• eghouti / BinaryConnect
  Implementation of BinaryConnect on Pytorch
  ☆39Updated 4 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting (ICML'19)
  ☆113Updated 5 years ago
• wjc852456 / Neural-Networks-on-Silicon
  This is a collection of works on neural networks and neural accelerators.
  ☆41Updated 6 years ago
• XinDongol / BENN-PyTorch
  Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
  ☆31Updated 6 years ago
• walkerning / nics_fix_pytorch
  pytorch fixed point training tool/framework
  ☆34Updated 5 years ago
• BertMoons / QuantizedNeuralNetworks-Keras-Tensorflow
  Quantized Neural Networks - networks trained for inference at arbitrary low precision.
  ☆147Updated 7 years ago
• EECS-NTNU / bismo
  BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing
  ☆146Updated 5 years ago
• max2ma / shiftNet
  ☆14Updated 5 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆44Updated 6 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆74Updated 5 years ago
• mohaghasemzadeh / ReBNet
  Residual Binarized Neural Network
  ☆42Updated 7 years ago
• mrusci / training-mixed-precision-quantized-networks
  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…
  ☆50Updated last year
• cornell-zhang / dnn-gating
  Conditional channel- and precision-pruning on neural networks
  ☆72Updated 5 years ago
• TadejMurovic / BNN_Deployment
  Part of paper: Massively Parallel Combinational Binary Neural Networks for Edge Processing
  ☆12Updated 6 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 7 years ago
• mil-ad / studying-binary-neural-networks
  ☆52Updated 6 years ago
• cooooorn / Pytorch-XNOR-Net
  XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
  ☆86Updated 6 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated 2 years ago
• itayhubara / BinaryNet.tf
  BNN implementation in tensorflow
  ☆166Updated 7 years ago
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆112Updated 5 years ago
• boluoweifenda / WAGE
  Code example for the ICLR 2018 oral paper
  ☆152Updated 7 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• jgoeders / dac_sdc_2020
  DAC System Design Contest 2020
  ☆29Updated 5 years ago
• yaysummeriscoming / BinaryNet_and_XNORNet
  Keras implementations of BinaryNet and XNORNet
  ☆55Updated 7 years ago
• GATECH-EIC / AutoDNNchip
  ☆71Updated 5 years ago
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆61Updated 5 years ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• allenbai01 / ProxQuant
  ProxQuant: Quantized Neural Networks via Proximal Operators
  ☆30Updated 6 years ago