arashardakani / Learning-Recurrent-Binary-Ternary-Weights

Related projects ⓘ

Alternatives and complementary repositories for Learning-Recurrent-Binary-Ternary-Weights

• wenwei202 / iss-rnns
  Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
  ☆73Updated 4 years ago
• eghouti / BinaryConnect
  Implementation of BinaryConnect on Pytorch
  ☆36Updated 3 years ago
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆113Updated 4 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 4 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 5 years ago
• mil-ad / studying-binary-neural-networks
  ☆53Updated 5 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 6 years ago
• houlu369 / Normalized-Quantized-LSTM
  Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"
  ☆30Updated 3 months ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆41Updated 5 years ago
• CAS-CLab / Training-Tricks-for-Binarized-Neural-Networks
  The collection of training tricks of binarized neural networks.
  ☆72Updated 3 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆18Updated 5 years ago
• Akashmathwani / Binarized-Neural-networks-using-pytorch
  Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .
  ☆41Updated 4 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 3 years ago
• guillaumeBellec / deep_rewiring
  Quick tutorial to Deep Rewiring
  ☆13Updated 5 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆73Updated 4 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆44Updated 4 years ago
• cooooorn / Pytorch-XNOR-Net
  XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
  ☆82Updated 5 years ago
• McDonnell-Lab / 1-bit-per-weight
  Training wide residual networks for deployment using a single bit for each weight
  ☆36Updated 4 years ago
• Ziems / ProxylessNAS
  ☆11Updated 3 years ago
• ARM-software / scalpel
  This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…
  ☆40Updated 6 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆164Updated 4 years ago
• aliutkus / torchpercentile
  Percentile computation for pytorch
  ☆20Updated 4 years ago
• team-approx-bayes / BayesBiNN
  Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
  ☆37Updated 2 years ago
• eladhoffer / quantized.pytorch
  ☆213Updated 5 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆124Updated 6 years ago
• ruihangdu / PyTorch-Deep-Compression
  A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
  ☆40Updated 5 years ago
• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆94Updated 6 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆16Updated 3 years ago