layer6ai-labs / T-FixupLinks
Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"
☆89Updated 4 years ago
Alternatives and similar repositories for T-Fixup
Users that are interested in T-Fixup are comparing it to the libraries listed below
Sorting:
- LaNMT: Latent-variable Non-autoregressive Neural Machine Translation with Deterministic Inference☆79Updated 4 years ago
- Cascaded Text Generation with Markov Transformers☆129Updated 2 years ago
- DisCo Transformer for Non-autoregressive MT☆77Updated 3 years ago
- ☆219Updated 5 years ago
- Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View"☆147Updated 6 years ago
- ☆32Updated 4 years ago
- Transformers without Tears: Improving the Normalization of Self-Attention☆134Updated last year
- Source code of paper "BP-Transformer: Modelling Long-Range Context via Binary Partitioning"☆128Updated 4 years ago
- FairSeq repo with Apollo optimizer☆114Updated last year
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆22Updated 2 years ago
- Understanding the Difficulty of Training Transformers☆332Updated 3 years ago
- This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer …☆55Updated 4 years ago
- ☆119Updated 6 years ago
- Implementation of Stochastic Beam Search using Fairseq☆105Updated 6 years ago
- Generative Flow based Sequence-to-Sequence Toolkit written in Python.☆246Updated 5 years ago
- ☆15Updated 6 years ago
- ICLR2019, Multilingual Neural Machine Translation with Knowledge Distillation☆70Updated 5 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- Official Pytorch Implementation of Length-Adaptive Transformer (ACL 2021)☆102Updated 5 years ago
- A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.☆86Updated 2 years ago
- ☆10Updated 5 years ago
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆120Updated 4 years ago
- a Pytorch implementation of the Reformer Network (https://openreview.net/pdf?id=rkgNKkHtvB)☆53Updated 3 years ago
- Code for ACL2020 "Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation"☆39Updated 5 years ago
- ☆44Updated 5 years ago
- Hard-Coded Gaussian Attention for Neural Machine Translation☆36Updated 2 years ago
- Code for the paper "Are Sixteen Heads Really Better than One?"☆173Updated 5 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated 2 years ago
- A masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a…☆245Updated 4 years ago
- Adaptive Softmax implementation for PyTorch☆81Updated 6 years ago