Akashmathwani / Binarized-Neural-networks-using-pytorchLinks
Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .
☆44Updated 5 years ago
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
Sorting:
- ☆52Updated 6 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 4 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- Reducing the size of convolutional neural networks☆111Updated 7 years ago
- ☆19Updated 7 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆57Updated 7 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆33Updated 5 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆49Updated 2 years ago
- ☆47Updated 5 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆17Updated 5 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 5 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆55Updated 5 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Updated 2 years ago
- Reproduction of WAGE in PyTorch.☆44Updated 6 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆78Updated 6 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- ☆214Updated 6 years ago
- Pytorch implementation of TRP☆45Updated 4 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Updated 3 years ago
- ☆70Updated 5 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 4 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 6 years ago
- A Unified, Systematic Framework of Structured Weight Pruning for DNNs☆22Updated 7 years ago