Andrew-Tierno / QuantizedTransformer
Implementation of a Quantized Transformer Model
☆18Updated 6 years ago
Alternatives and similar repositories for QuantizedTransformer:
Users that are interested in QuantizedTransformer 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 NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"☆31Updated 9 months ago
- caffe implementation of single level quantization☆19Updated 6 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Updated 5 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆18Updated 6 years ago
- Open Source Neural Machine Translation in PyTorch☆17Updated 6 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- [ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)☆22Updated last year
- A Unified, Systematic Framework of Structured Weight Pruning for DNNs☆22Updated 6 years ago
- ☆15Updated 5 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- ☆26Updated 5 years ago
- Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"☆41Updated 5 years ago
- Block Sparse movement pruning☆79Updated 4 years ago
- Deep Neural Network Compression based on Student-Teacher Network☆14Updated last year
- Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.☆12Updated 5 years ago
- [KDD'22] Learned Token Pruning for Transformers☆95Updated 2 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- ☆15Updated 6 years ago
- Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)☆74Updated 4 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- (ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.☆21Updated 2 years ago
- Source code for IJCAI 2022 Long paper: Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.☆14Updated 2 years ago
- ☆18Updated last year
- In this repository, we explore model compression for transformer architectures via quantization. We specifically explore quantization awa…☆24Updated 3 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago
- The official implementation of You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Natu…☆48Updated 3 years ago