eghouti / BinaryConnectLinks
Implementation of BinaryConnect on Pytorch
☆39Updated 4 years ago
Alternatives and similar repositories for BinaryConnect
Users that are interested in BinaryConnect are comparing it to the libraries listed below
Sorting:
- ☆52Updated 6 years ago
- ☆19Updated 7 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 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☆112Updated 7 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Reproduction of WAGE in PyTorch.☆44Updated 6 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆17Updated 5 years ago
- Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .☆44Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 5 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆98Updated 5 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆61Updated 5 years ago
- [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
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆55Updated 5 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 6 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 7 years ago
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 4 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 4 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆33Updated 4 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 5 years ago
- Code example for the ICLR 2018 oral paper☆153Updated 7 years ago
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆17Updated 5 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 5 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆186Updated 4 years ago