LiyuanLucasLiu / Transformer-ClinicLinks
Understanding the Difficulty of Training Transformers
☆329Updated 3 years ago
Alternatives and similar repositories for Transformer-Clinic
Users that are interested in Transformer-Clinic are comparing it to the libraries listed below
Sorting:
- ☆218Updated 5 years ago
- Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve exis…☆251Updated 3 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆376Updated 4 years ago
- Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)☆330Updated last year
- Code for the paper "Are Sixteen Heads Really Better than One?"☆172Updated 5 years ago
- Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"☆89Updated 4 years ago
- Neural Text Generation with Unlikelihood Training☆309Updated 3 years ago
- Efficient, check-pointed data loading for deep learning with massive data sets.☆208Updated 2 years ago
- Repository containing code for "How to Train BERT with an Academic Budget" paper☆314Updated last year
- Fully featured implementation of Routing Transformer☆297Updated 3 years ago
- Implementation of Mixout with PyTorch☆75Updated 2 years ago
- This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, t…☆314Updated 4 years ago
- Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)☆226Updated 4 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…☆244Updated 3 years ago
- Transformers without Tears: Improving the Normalization of Self-Attention☆132Updated last year
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆267Updated 3 years ago
- The entmax mapping and its loss, a family of sparse softmax alternatives.☆443Updated last year
- For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).☆184Updated 2 years ago
- Optimus: the first large-scale pre-trained VAE language model☆390Updated last year
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆227Updated 2 years ago
- DeLighT: Very Deep and Light-Weight Transformers☆470Updated 4 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated 2 years ago
- FairSeq repo with Apollo optimizer☆114Updated last year
- Generative Flow based Sequence-to-Sequence Toolkit written in Python.☆245Updated 5 years ago
- Pytorch implementation of Compressive Transformers, from Deepmind☆162Updated 3 years ago
- Tracking the progress in non-autoregressive generation (translation, transcription, etc.)☆306Updated 2 years ago
- An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/p…☆433Updated 2 years ago
- SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in c…☆361Updated 3 years ago
- On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines☆136Updated last year
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆225Updated 3 years ago