Alternatives and similar repositories for T-Fixup

Users that are interested in T-Fixup are comparing it to the libraries listed below

• facebookresearch / DisCo
  DisCo Transformer for Non-autoregressive MT
  ☆77Updated 3 years ago
• harvardnlp / cascaded-generation
  Cascaded Text Generation with Markov Transformers
  ☆129Updated 2 years ago
• laiguokun / Funnel-Transformer
  ☆219Updated 5 years ago
• zhuohan123 / macaron-net
  Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View"
  ☆148Updated 6 years ago
• zomux / lanmt
  LaNMT: Latent-variable Non-autoregressive Neural Machine Translation with Deterministic Inference
  ☆80Updated 4 years ago
• wouterkool / stochastic-beam-search
  Implementation of Stochastic Beam Search using Fairseq
  ☆105Updated 6 years ago
• yzh119 / BPT
  Source code of paper "BP-Transformer: Modelling Long-Range Context via Binary Partitioning"
  ☆128Updated 4 years ago
• ofirpress / sandwich_transformer
  This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer …
  ☆55Updated 4 years ago
• XuezheMax / flowseq
  Generative Flow based Sequence-to-Sequence Toolkit written in Python.
  ☆245Updated 5 years ago
• XuezheMax / fairseq-apollo
  FairSeq repo with Apollo optimizer
  ☆114Updated last year
• LiyuanLucasLiu / Transformer-Clinic
  Understanding the Difficulty of Training Transformers
  ☆329Updated 3 years ago
• pytorch-tpu / fairseq
  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
  ☆22Updated 2 years ago
• nyu-dl / dl4mt-nonauto
  ☆119Updated 6 years ago
• namisan / exdeep-nmt
  ☆32Updated 3 years ago
• lancopku / Prime
  A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.
  ☆85Updated 2 years ago
• tnq177 / transformers_without_tears
  Transformers without Tears: Improving the Normalization of Self-Attention
  ☆133Updated last year
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆151Updated 2 years ago
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆120Updated 4 years ago
• pmichel31415 / are-16-heads-really-better-than-1
  Code for the paper "Are Sixteen Heads Really Better than One?"
  ☆172Updated 5 years ago
• lucidrains / distilled-retriever-pytorch
  Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"
  ☆32Updated 4 years ago
• zhuohan123 / hint-nart
  ☆10Updated 5 years ago
• gonglinyuan / StackingBERT
  Source code for "Efficient Training of BERT by Progressively Stacking"
  ☆113Updated 6 years ago
• nng555 / ssmba
  ☆62Updated 3 years ago
• clovaai / length-adaptive-transformer
  Official Pytorch Implementation of Length-Adaptive Transformer (ACL 2021)
  ☆102Updated 4 years ago
• RayeRen / multilingual-kd-pytorch
  ICLR2019, Multilingual Neural Machine Translation with Knowledge Distillation
  ☆70Updated 4 years ago
• HA-Transformer / MAT
  The implementation of multi-branch attentive Transformer (MAT).
  ☆33Updated 4 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…
  ☆244Updated 3 years ago
• zbloss / reformer_lm
  a Pytorch implementation of the Reformer Network (https://openreview.net/pdf?id=rkgNKkHtvB)
  ☆53Updated 2 years ago
• MultiPath / NA-NMT
  Non-autoregressive Neural Machine Translation (not a full version)
  ☆71Updated 2 years ago
• intersun / CoDIR
  Code for EMNLP 2020 paper CoDIR
  ☆41Updated 2 years ago