Alternatives and similar repositories for adaptive_transformer

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

• Alibaba-NLP / MultilangStructureKD
  [ACL 2020] Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
  ☆72Updated 2 years ago
• declare-lab / dialog-HGAT
  Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks
  ☆56Updated 2 years ago
• INK-USC / CALM
  Source code for ICLR 2021 paper : Pre-training Text-to-Text Transformers for Concept-Centric Common Sense
  ☆27Updated 4 years ago
• peterwestuw / BottleSum
  ☆36Updated 5 years ago
• shehzaadzd / pytorch-pretrained-BERT
  A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
  ☆35Updated 6 years ago
• declare-lab / kingdom
  Domain Adaptation using External Knowledge for Sentiment Analysis
  ☆53Updated 2 years ago
• intersun / CoDIR
  Code for EMNLP 2020 paper CoDIR
  ☆41Updated 3 years ago
• yanzhangnlp / IS-BERT
  An Unsupervised Sentence Embedding Method by Mutual Information Maximization (EMNLP2020)
  ☆61Updated 4 years ago
• cooelf / UVR-NMT
  Neural Machine Translation with universal Visual Representation (ICLR 2020)
  ☆90Updated 5 years ago
• cyk1337 / Highway-Transformer
  [ACL‘20] Highway Transformer: A Gated Transformer.
  ☆32Updated 3 years ago
• eaclark07 / sms
  ☆44Updated 6 years ago
• Cartus / DCGCN
  Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
  ☆78Updated 4 years ago
• fuzihaofzh / distant_supervision_nlg
  Code for the paper "Partially-Aligned Data-to-Text Generation with Distant Supervision" in EMNLP 2020.
  ☆19Updated 4 years ago
• utahnlp / layer_augmentation
  Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
  ☆43Updated 4 years ago
• atulkum / co-attention
  Pytorch implementation of "Dynamic Coattention Networks For Question Answering"
  ☆62Updated 7 years ago
• wangxinyu0922 / Second_Order_Parsing
  [ACL 2019/AACL 2020] Second-Order Syntactic/Semantic Dependency Parsing With Mean Field Variational Inference (PyTorch)
  ☆14Updated 5 years ago
• eyalbd2 / PADA
  Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".
  ☆51Updated 3 years ago
• XinyuHua / textgen-emnlp19
  Code for our EMNLP 2019 paper titled "Sentence-Level Content Planning and Style Specification for Neural Text Generation"
  ☆17Updated 5 years ago
• LiqunChen0606 / OT-Seq2Seq
  code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"
  ☆68Updated 6 years ago
• ethanjperez / true_few_shot
  Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447)
  ☆144Updated 4 years ago
• zhaochaocs / DualEnc
  Codebase for DualEnc (ACL-20)
  ☆22Updated 2 years ago
• INK-USC / NERO
  Source Code for paper "NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction", WWW 2020
  ☆47Updated 5 years ago
• SALT-NLP / LADA
  Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"
  ☆43Updated 3 years ago
• lancopku / Prime
  A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.
  ☆86Updated 2 years ago
• microsoft / LiST
  Lite Self-Training
  ☆29Updated 2 years ago
• FreedomIntelligence / complex-order
  ☆84Updated 5 years ago
• monologg / NER-Multimodal-pytorch
  Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)
  ☆57Updated 2 years ago
• microsoft / Unicoder
  Unicoder model for understanding and generation.
  ☆91Updated last year
• Yifan-Gao / explicit_memory_tracker
  [ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
  ☆39Updated 2 years ago
• uclanlp / ParaBART
  Code for our NAACL-2021 paper "Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models".
  ☆23Updated 3 years ago