Alternatives and similar repositories for TUPE:

Users that are interested in TUPE are comparing it to the libraries listed below

• LiyuanLucasLiu / Transformer-Clinic
  Understanding the Difficulty of Training Transformers
  ☆328Updated 2 years ago
• asappresearch / revisit-bert-finetuning
  For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).
  ☆184Updated last year
• laiguokun / Funnel-Transformer
  ☆213Updated 4 years ago
• yzh119 / BPT
  Source code of paper "BP-Transformer: Modelling Long-Range Context via Binary Partitioning"
  ☆126Updated 3 years ago
• JetRunner / BERT-of-Theseus
  ⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).
  ☆310Updated last year
• XuezheMax / flowseq
  Generative Flow based Sequence-to-Sequence Toolkit written in Python.
  ☆243Updated 5 years ago
• Sanyuan-Chen / RecAdam
  Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.
  ☆115Updated 4 years ago
• layer6ai-labs / T-Fixup
  Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"
  ☆89Updated 4 years ago
• lonePatient / electra_pytorch
  ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
  ☆91Updated 3 years ago
• FreedomIntelligence / complex-order
  ☆83Updated 5 years ago
• facebookresearch / Mask-Predict
  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…
  ☆242Updated 3 years ago
• yitu-opensource / ConvBert
  ☆251Updated 2 years ago
• deep-spin / entmax
  The entmax mapping and its loss, a family of sparse softmax alternatives.
  ☆426Updated 7 months ago
• yaushian / Tree-Transformer
  Implementation of the paper Tree Transformer
  ☆213Updated 4 years ago
• ZhengZixiang / ATPapers
  Worth-reading papers and related resources on attention mechanism, Transformer and pretrained language model (PLM) such as BERT. 值得一读的注意力…
  ☆133Updated 3 years ago
• salesforce / nonauto-nmt
  PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"
  ☆268Updated 3 years ago
• zhuchen03 / FreeLB
  Adversarial Training for Natural Language Understanding
  ☆252Updated last year
• twistedcubic / attention-rank-collapse
  [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.
  ☆164Updated 3 years ago
• lucidrains / sinkhorn-transformer
  Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention
  ☆257Updated 3 years ago
• budzianowski / PyTorch-Beam-Search-Decoding
  PyTorch implementation of beam search decoding for seq2seq models
  ☆338Updated 2 years ago
• pmichel31415 / are-16-heads-really-better-than-1
  Code for the paper "Are Sixteen Heads Really Better than One?"
  ☆171Updated 4 years ago
• zhuohan123 / macaron-net
  Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View"
  ☆148Updated 5 years ago
• microsoft / COCO-LM
  [NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
  ☆118Updated last year
• graykode / ALBERT-Pytorch
  Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)
  ☆226Updated 3 years ago
• facebookresearch / unlikelihood_training
  Neural Text Generation with Unlikelihood Training
  ☆309Updated 3 years ago
• kahne / NonAutoregGenProgress
  Tracking the progress in non-autoregressive generation (translation, transcription, etc.)
  ☆306Updated last year
• andreamad8 / Universal-Transformer-Pytorch
  Implementation of Universal Transformer in Pytorch
  ☆259Updated 6 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆152Updated last year
• ymcui / LAMB_Optimizer_TF
  LAMB Optimizer for Large Batch Training (TensorFlow version)
  ☆120Updated 5 years ago
• richarddwang / electra_pytorch
  Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
  ☆326Updated last year