Alternatives and similar repositories for compacter:

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

• benzakenelad / BitFit
  Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
  ☆140Updated 2 years ago
• rabeehk / hyperformer
  ☆153Updated 3 years ago
• 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
• microsoft / AdaMix
  This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…
  ☆129Updated last year
• arazd / ProgressivePrompts
  Progressive Prompts: Continual Learning for Language Models
  ☆93Updated last year
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• john-hewitt / backpacks-flash-attn
  The original Backpack Language Model implementation, a fork of FlashAttention
  ☆67Updated last year
• machelreid / diffuser
  DiffusER: Discrete Diffusion via Edit-based Reconstruction (Reid, Hellendoorn & Neubig, 2022)
  ☆54Updated 2 years ago
• mmatena / model_merging
  ☆66Updated 3 years ago
• McGill-NLP / polytropon
  ☆52Updated last year
• fuzihaofzh / AnalyzeParameterEfficientFinetune
  On the Effectiveness of Parameter-Efficient Fine-Tuning
  ☆38Updated last year
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated last year
• cambridgeltl / composable-sft
  A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.
  ☆71Updated 8 months ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆98Updated 2 years ago
• qcwthu / Lifelong-Fewshot-Language-Learning
  The code for lifelong few-shot language learning
  ☆55Updated 3 years ago
• 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
• uds-lsv / MCSE
  NAACL 2022: MCSE: Multimodal Contrastive Learning of Sentence Embeddings
  ☆55Updated 10 months ago
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆243Updated last year
• nayeon7lee / FactualityPrompt
  ☆85Updated 2 years ago
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆97Updated last year
• cliang1453 / SAGE
  No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)
  ☆30Updated 3 years ago
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆39Updated last year
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆198Updated 2 years ago
• jzbjyb / ReAtt
  Retrieval as Attention
  ☆83Updated 2 years ago
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆39Updated 3 years ago
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆88Updated last year
• Victorwz / VaLM
  VaLM: Visually-augmented Language Modeling. ICLR 2023.
  ☆56Updated 2 years ago
• VITA-Group / LiGO
  [ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennige…
  ☆91Updated last year
• GXimingLu / Quark
  ☆75Updated last year
• INK-USC / CrossFit
  Code for paper "CrossFit : A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)
  ☆110Updated 2 years ago