Alternatives and similar repositories for hyperformer:

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

• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆100Updated 2 years ago
• rabeehk / compacter
  ☆127Updated 2 years ago
• qcwthu / Lifelong-Fewshot-Language-Learning
  The code for lifelong few-shot language learning
  ☆55Updated 3 years ago
• McGill-NLP / polytropon
  ☆52Updated last year
• morningmoni / UniPELT
  Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022
  ☆60Updated 3 years ago
• SALT-NLP / Adaptive-Compositional-Modules
  Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"
  ☆38Updated 2 years ago
• SALT-NLP / IDBR
  Codes for the paper: "Continual Learning for Text Classification with Information Disentanglement Based Regularization"
  ☆44Updated 2 years ago
• JetRunner / MetaDistil
  Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".
  ☆85Updated 2 years ago
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆39Updated 3 years ago
• BeyonderXX / TRACE
  TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
  ☆66Updated last year
• fuzihaofzh / AnalyzeParameterEfficientFinetune
  On the Effectiveness of Parameter-Efficient Fine-Tuning
  ☆38Updated last year
• e-bug / iglue
  [ICML 2022] Code and data for our paper "IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages"
  ☆49Updated 2 years ago
• Junya-Chen / FlatCLR
  FlatNCE: A Novel Contrastive Representation Learning Objective
  ☆90Updated 3 years ago
• joeljang / continual-knowledge-learning
  [ICLR 2022] Towards Continual Knowledge Learning of Language Models
  ☆92Updated 2 years ago
• nayeon7lee / FactualityPrompt
  ☆85Updated 2 years ago
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆39Updated last year
• arazd / ProgressivePrompts
  Progressive Prompts: Continual Learning for Language Models
  ☆92Updated last year
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆62Updated 3 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• Alrope123 / rethinking-demonstrations
  ☆173Updated 8 months ago
• wutong8023 / PLM4CL
  ICLR 2022
  ☆17Updated 2 years ago
• wzhouad / Contra-OOD
  Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021
  ☆40Updated 3 years ago
• benzakenelad / BitFit
  Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
  ☆140Updated 2 years ago
• GXimingLu / Quark
  ☆75Updated last year
• Victorwz / VaLM
  VaLM: Visually-augmented Language Modeling. ICLR 2023.
  ☆56Updated 2 years ago
• ylsung / Ladder-Side-Tuning
  PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"
  ☆236Updated 2 years ago
• ChicagoHAI / active-example-selection
  Active Example Selection for In-Context Learning (EMNLP'22)
  ☆49Updated 8 months ago
• facebookresearch / MetaICL
  An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi
  ☆262Updated last year
• zjunlp / DART
  [ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
  ☆131Updated 2 years ago
• TideDancer / iclr21_isotropy_contxt
  ☆30Updated 3 years ago