Alternatives and similar repositories for StackingBERT:

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

• LiyuanLucasLiu / Torch-Scope
  A Toolkit for Training, Tracking, Saving Models and Syncing Results
  ☆60Updated 5 years ago
• MultiPath / Squirrel
  PyTorch implementation of Transformer-based Neural Machine Translation
  ☆77Updated 2 years ago
• Noahs-ARK / MAE
  ☆21Updated 4 years ago
• sid7954 / beam-joint-attention
  ☆13Updated 5 years ago
• ExplorerFreda / TreeEnc
  [EMNLP 2018] On Tree-Based Neural Sentence Modeling.
  ☆65Updated 6 years ago
• rdspring1 / PyTorch_GBW_LM
  PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
  ☆123Updated 5 years ago
• bzhangGo / transformer-aan
  souce code for "Accelerating Neural Transformer via an Average Attention Network"
  ☆78Updated 5 years ago
• wellecks / nonmonotonic_text
  Non-Monotonic Sequential Text Generation (ICML 2019)
  ☆72Updated 5 years ago
• ChengyueGongR / Frequency-Agnostic
  Code for NIPS 2018 paper 'Frequency-Agnostic Word Representation'
  ☆115Updated 5 years ago
• vanzytay / NIPS2018_DECAPROP
  Implementation of Densely Connected Attention Propagation for Reading Comprehension (NIPS 2018)
  ☆69Updated 6 years ago
• robinjia / adversarial-squad
  Code from Jia and Liang, "Adversarial Examples for Evaluating Reading Comprehension Systems" (EMNLP 2017)
  ☆118Updated 6 years ago
• StillKeepTry / Transformer-PyTorch
  A PyTorch implementation of Attention is all you need
  ☆42Updated 6 years ago
• SkyAndCloud / awesome-transformer
  This repo is not maintained. For latest version, please visit https://github.com/ictnlp. A collection of transformer's guides, implementa…
  ☆44Updated 6 years ago
• yzh119 / BPT
  Source code of paper "BP-Transformer: Modelling Long-Range Context via Binary Partitioning"
  ☆128Updated 3 years ago
• aonotas / interpretable-adv
  Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.
  ☆41Updated 5 years ago
• microsoft / DualLearning
  A dual learning toolkit developed by Microsoft Research
  ☆71Updated last year
• guitaowufeng / TPANN
  ☆41Updated 7 years ago
• dojoteef / synst
  Source code to reproduce the results in the ACL 2019 paper "Syntactically Supervised Transformers for Faster Neural Machine Translation"
  ☆81Updated 2 years ago
• LiyuanLucasLiu / LD-Net
  Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
  ☆146Updated 5 years ago
• msobroza / compositional_code_learning
  Reproduce the results of paper "Compressing Word Embeddings via Deep Compositional Code Learning" accepted ICLR 2018
  ☆23Updated 6 years ago
• nyu-dl / dl4mt-nonauto
  ☆119Updated 6 years ago
• stanfordmlgroup / nlm-noising
  ☆74Updated 7 years ago
• jxhe / self-training-text-generation
  Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"
  ☆46Updated 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
• allenai / sledgehammer
  ☆47Updated 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
• rosinality / adaptive-softmax-pytorch
  Adaptive Softmax implementation for PyTorch
  ☆80Updated 5 years ago
• pytorch-tpu / fairseq
  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
  ☆22Updated 2 years ago
• zphang / adaptive-computation-time-pytorch
  Alex Graves' Adaptive Computation Time in PyTorch
  ☆15Updated 7 years ago
• pramodkaushik / acl18_results
  Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
  ☆33Updated 6 years ago