Alternatives and similar repositories for Binarized-Neural-networks-using-pytorch

Users that are interested in Binarized-Neural-networks-using-pytorch are comparing it to the libraries listed below

• eghouti / BinaryConnect
  Implementation of BinaryConnect on Pytorch
  ☆39Updated 4 years ago
• mil-ad / studying-binary-neural-networks
  ☆52Updated 6 years ago
• layog / Accurate-Binary-Convolution-Network
  Binary Convolution Network for faster real-time processing in ASICs
  ☆57Updated 7 years ago
• cooooorn / Pytorch-XNOR-Net
  XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
  ☆86Updated 6 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 8 years ago
• sajaddarabi / BiRealNet
  Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights
  ☆18Updated 6 years ago
• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆90Updated 2 years ago
• makora9143 / binarynet
  ☆19Updated 8 years ago
• yeshaokai / Robustness-Aware-Pruning-ADMM
  Code release for "Adversarial Robustness vs Model Compression, or Both?"
  ☆90Updated 4 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆75Updated 6 years ago
• csyhhu / L-OBS
  Codes for Layer-wise Optimal Brain Surgeon
  ☆78Updated 7 years ago
• romulus0914 / NASBench-PyTorch
  A PyTorch implementation of NASBench
  ☆52Updated 2 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 5 years ago
• kalviny / IMTA
  ☆47Updated 6 years ago
• tajanthan / pmf
  Proximal Mean-field for Neural Network Quantization
  ☆21Updated 5 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 5 years ago
• TropComplique / image-classification-caltech-256
  Exploring CNNs and model quantization on Caltech-256 dataset
  ☆85Updated 8 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 5 years ago
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆116Updated 6 years ago
• xiangning-chen / DrNAS
  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"
  ☆43Updated 4 years ago
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆113Updated 6 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago
• bohanzhuang / Towards-Effective-Low-bitwidth-Convolutional-Neural-Networks
  This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"
  ☆20Updated 4 years ago
• automl / nasbench-1shot1
  ☆68Updated 5 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆44Updated 5 years ago
• VITA-Group / ATMC
  [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …
  ☆49Updated 4 years ago
• GATECH-EIC / CPT
  [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…
  ☆31Updated last year
• shuyao95 / Understanding-NAS
  Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search
  ☆28Updated 5 years ago
• yanghr / DeepHoyer
  DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
  ☆32Updated 5 years ago
• zzzxxxttt / pytorch_simple_DARTS
  A simple pytorch implementation of Differentiable Architecture Search (DARTS)
  ☆21Updated 6 years ago