fawazsammani / mogrifier-lstm-pytorch
Implementation of Mogrifier LSTM in PyTorch
☆35Updated 4 years ago
Related projects: ⓘ
- A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch☆73Updated 4 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆59Updated 4 years ago
- code for Explicit Sparse Transformer☆57Updated last year
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 4 years ago
- Pytorch implementation of Performer from the paper "Rethinking Attention with Performers".☆23Updated 3 years ago
- How Does Selective Mechanism Improve Self-attention Networks?☆27Updated 3 years ago
- 1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge…☆46Updated 2 years ago
- ☆20Updated 4 years ago
- For paper《Gaussian Transformer: A Lightweight Approach for Natural Language Inference》☆27Updated 4 years ago
- A pytorch realization of adafactor (https://arxiv.org/pdf/1804.04235.pdf )☆24Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- PyTorch implementation of Pay Attention to MLPs☆39Updated 3 years ago
- Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".☆43Updated 2 years ago
- Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)☆69Updated 4 years ago
- custom pytorch implementation of MoCo v3☆43Updated 3 years ago
- Sparse Attention with Linear Units☆17Updated 3 years ago
- An open-source project for long-tail classification☆38Updated 2 years ago
- ☆14Updated 4 years ago
- Code for "Understanding and Improving Layer Normalization"☆44Updated 4 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆83Updated 2 years ago
- Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)☆29Updated 3 years ago
- Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"☆41Updated 5 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆21Updated 4 years ago
- (ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.☆21Updated 2 years ago
- Code for the ACL2020 paper Character-Level Translation with Self-Attention☆32Updated 3 years ago
- Training Signal Annealing☆13Updated 4 years ago
- some examples for drawing illustration plots for paper using seaborn package☆13Updated 4 years ago
- Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022☆37Updated last year
- Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch☆53Updated 3 years ago
- ☆51Updated 3 years ago