houlu369 / Normalized-Quantized-LSTM
Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"
☆31Updated 9 months ago
Alternatives and similar repositories for Normalized-Quantized-LSTM:
Users that are interested in Normalized-Quantized-LSTM are comparing it to the libraries listed below
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- Implementation of a Quantized Transformer Model☆18Updated 6 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 11 months ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago
- ☆53Updated 6 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆18Updated 6 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)☆74Updated 4 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 5 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 3 years ago
- Reproduction of WAGE in PyTorch.☆42Updated 6 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- In this repository, we explore model compression for transformer architectures via quantization. We specifically explore quantization awa…☆24Updated 3 years ago
- Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy☆15Updated 6 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- caffe implementation of single level quantization☆19Updated 6 years ago
- Learning-Recurrent-Binary-Ternary-Weights☆12Updated 6 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 5 years ago
- Reducing the size of convolutional neural networks☆113Updated 7 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆33Updated 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…☆30Updated last year
- PyTorch code for full quantization of DNN using BCGD☆14Updated 5 years ago
- [UNDER CONSTRUCTION]unofficial implementation of ABC-Net☆12Updated 7 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆38Updated 3 years ago