Alternatives and similar repositories for date

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

• shentianxiao / text-autoencoders
  ☆207Updated last year
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• nng555 / ssmba
  ☆63Updated 3 years ago
• bloodwass / mixout
  Implementation of Mixout with PyTorch
  ☆75Updated 2 years ago
• forest-snow / alps
  Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".
  ☆40Updated 4 years ago
• seongminp / transformers-into-vaes
  Code for "Finetuning Pretrained Transformers into Variational Autoencoders"
  ☆39Updated 3 years ago
• microsoft / UST
  Uncertainty-aware Self-training
  ☆121Updated last year
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 4 years ago
• sobamchan / pytorch-lightning-transformers
  Fine-tune transformers with pytorch-lightning
  ☆44Updated 3 years ago
• akashkm99 / Interpretable-Attention
  Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)
  ☆35Updated 2 years ago
• lukasruff / CVDD-PyTorch
  A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
  ☆71Updated 2 years ago
• lucidrains / electra-pytorch
  A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch
  ☆227Updated last year
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆67Updated 4 years ago
• Nithin-Holla / MetaLifelongLanguage
  Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
  ☆21Updated last year
• florianmai / emb2emb
  Implementation of the paper 'Plug and Play Autoencoders for Conditional Text Generation'
  ☆43Updated 4 years ago
• mourga / contrastive-active-learning
  Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …
  ☆125Updated 3 years ago
• LC-John / Yahoo-Answers-Topic-Classification-Dataset
  ☆54Updated 7 years ago
• mailong25 / meta-learning-bert
  Meta learning with BERT as a learner
  ☆107Updated last year
• xhan77 / influence-function-analysis
  ☆63Updated 5 years ago
• eaclark07 / sms
  ☆43Updated 5 years ago
• malllabiisc / DiPS
  NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
  ☆69Updated last year
• nmrksic / LEAR
  Specialising Word Vectors for Lexical Entailment
  ☆28Updated 6 years ago
• INK-USC / hierarchical-explanation-neural-sequence-models
  Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
  ☆30Updated 4 years ago
• huiyegit / APLC_XLNet
  ☆19Updated 4 years ago
• archinetai / smart-pytorch
  PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.
  ☆62Updated 2 years ago
• varunkumar-dev / TransformersDataAugmentation
  Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper
  ☆134Updated last year
• tuvuumass / task-transferability
  Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.
  ☆50Updated 4 years ago
• tongshuangwu / polyjuice
  ☆97Updated 2 years ago
• LeoLaugier / conditional-auto-encoder-text-to-text-transfer-transformer
  Code for CAET5
  ☆23Updated last year
• richarddwang / electra_pytorch
  Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
  ☆330Updated last year