Alternatives and similar repositories for 0shot-classification:

Users that are interested in 0shot-classification are comparing it to the libraries listed below

• eyalbd2 / PADA
  Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".
  ☆50Updated 2 years ago
• salesforce / FactLM
  ☆10Updated 3 years ago
• RUCAIBox / Context-Tuning
  This is the repository for COLING 2022 paper "Context-Tuning: Learning Contextualized Prompts for Natural Language Generation".
  ☆11Updated 2 years ago
• xinyadu / memory_docie
  ☆13Updated 2 years ago
• krystalan / ClidSum
  EMNLP 2022: ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization
  ☆35Updated last year
• microsoft / MetaST
  ☆25Updated last year
• GaryYufei / PromDA
  Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"
  ☆67Updated last year
• SALT-NLP / LADA
  Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"
  ☆43Updated 2 years ago
• Sreyan88 / ACLM
  Code for ACL 2023 Paper: ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER
  ☆19Updated last year
• yxuansu / TaCL
  [NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
  ☆92Updated 2 years ago
• clovaai / ssmix
  Official PyTorch Implementation of SSMix (Findings of ACL 2021)
  ☆62Updated 3 years ago
• AtmaHou / PromptSlotTagging
  Code for ACL22 findings paper: Inverse is Better! Fast and Accurate Prompt for Slot Tagging
  ☆27Updated 2 years ago
• RiTUAL-UH / style_NER
  “Data Augmentation for Cross-Domain Named Entity Recognition” (EMNLP 2021)
  ☆20Updated 2 years ago
• ruiqi-zhong / Meta-tuning
  EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
  ☆50Updated 3 years ago
• thunlp / PELT
  Source code for "A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models"
  ☆43Updated 2 years ago
• TevenLeScao / pet
  This repository contains the code for "How many data points is a prompt worth?"
  ☆48Updated 3 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆62Updated 2 years ago
• yiren-jian / LM-SupCon
  [NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners
  ☆22Updated last year
• SALT-NLP / IDBR
  Codes for the paper: "Continual Learning for Text Classification with Information Disentanglement Based Regularization"
  ☆44Updated last year
• amazon-science / sentence-representations
  ☆78Updated 2 years ago
• hooman650 / SupCL-Seq
  Supervised Contrastive Learning for Downstream Optimized Sequence Representations
  ☆27Updated 3 years ago
• HeyyyyyyG / CFIE
  PyTorch implementation for our proposed CFIE in EMNLP 2021 paper "Uncovering Main Causalities for Long-tailed Information Extraction".
  ☆27Updated 3 years ago
• INK-USC / CALM
  Source code for ICLR 2021 paper : Pre-training Text-to-Text Transformers for Concept-Centric Common Sense
  ☆27Updated 3 years ago
• microsoft / AMOS
  [ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
  ☆24Updated last year
• Yifan-Gao / multilingual_keyphrase_generation
  [NAACL'22-Findings] Dataset for "Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training"
  ☆18Updated 2 years ago
• congyingxia / IncrementalFSTC
  Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. NAACL 2021. https://arxiv.org/abs…
  ☆20Updated 3 years ago
• NLPCode / CBART
  Lexically constrained text generation with CBART.
  ☆48Updated 2 years ago
• Jun-jie-Huang / WhiteningBERT
  source code for paper: WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.
  ☆56Updated 3 years ago
• Mckysse / MSD
  [EMNLP 2022 main conference] Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
  ☆9Updated 2 years ago
• lifan-yuan / FactMix
  Code for COLING 2022 paper "FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition"
  ☆15Updated 2 years ago