arashardakani / Learning-Recurrent-Binary-Ternary-Weights
Learning-Recurrent-Binary-Ternary-Weights
☆12Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Learning-Recurrent-Binary-Ternary-Weights
- Implementation of BinaryConnect on Pytorch☆36Updated 3 years ago
- Reproduction of WAGE in PyTorch.☆41Updated 6 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆37Updated 2 years ago
- ☆53Updated 5 years ago
- Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"☆30Updated 3 months ago
- Code for BlockSwap (ICLR 2020).☆33Updated 3 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆73Updated 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
- Reducing the size of convolutional neural networks☆112Updated 6 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 6 years ago
- Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .☆41Updated 4 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 4 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆124Updated 6 years ago
- Training wide residual networks for deployment using a single bit for each weight☆36Updated 4 years ago
- A pytorch implementation of https://arxiv.org/abs/1904.09925☆16Updated 5 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆18Updated 5 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆54Updated 6 years ago
- Pytorch implementations of the BNN, XNOR-Net and BiReal-Net☆15Updated 4 years ago
- ☆35Updated 4 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 2 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆31Updated 4 years ago
- ☆213Updated 5 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆164Updated 4 years ago
- Training neural networks with 8-bit computations☆29Updated 8 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- Implementations of the XNOR networks☆12Updated 7 years ago
- ☆15Updated 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