eghouti / BinaryConnect
Implementation of BinaryConnect on Pytorch
☆36Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for BinaryConnect
- ☆19Updated 7 years ago
- ☆53Updated 5 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆73Updated 4 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 4 years ago
- Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .☆41Updated 4 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆17Updated 5 years ago
- Reproduction of WAGE in PyTorch.☆41Updated 6 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆28Updated 5 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆82Updated 5 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆31Updated 5 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆59Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆37Updated 2 years ago
- Reducing the size of convolutional neural networks☆112Updated 6 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆54Updated 6 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆56Updated 4 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆107Updated 4 years ago
- [ICLR 2021] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vi…☆30Updated 8 months ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆32Updated 5 years ago
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆16Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆32Updated last year
- Pytorch implementations of the BNN, XNOR-Net and BiReal-Net☆15Updated 4 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 5 years ago
- ☆36Updated 5 years ago