tipt0p / SparseBayesianRNN
☆14Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for SparseBayesianRNN
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)☆74Updated 4 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Updated 6 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 5 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 5 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆18Updated 5 years ago
- Implementation of a Quantized Transformer Model☆17Updated 5 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 4 years ago
- Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"☆30Updated 3 months ago
- Compression of NMT transformer model with tensor methods☆48Updated 5 years ago
- Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.☆11Updated 5 years ago
- Reducing the size of convolutional neural networks☆112Updated 6 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
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated last year
- caffe implementation of single level quantization☆19Updated 5 years ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆49Updated 2 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆28Updated 5 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆31Updated 4 years ago
- Pytorch implementation of TRP☆44Updated 4 years ago
- Remplementation of paper https://arxiv.org/abs/1705.08665☆28Updated 6 years ago
- ☆53Updated 5 years ago
- Code for "On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length", ICLR 2019☆11Updated last year
- ☆15Updated 4 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 3 years ago
- Implementation of BinaryConnect on Pytorch☆36Updated 3 years ago
- ☆53Updated 5 years ago
- Quantize weights and activations in Recurrent Neural Networks.☆94Updated 6 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- MUSCO: MUlti-Stage COmpression of neural networks☆71Updated 3 years ago