Alternatives and similar repositories for compacter:

Users that are interested in compacter 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
• benzakenelad / BitFit
  Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
  ☆138Updated 2 years ago
• rabeehk / hyperformer
  ☆152Updated 3 years ago
• arazd / ProgressivePrompts
  Progressive Prompts: Continual Learning for Language Models
  ☆91Updated last year
• microsoft / AdaMix
  This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…
  ☆127Updated last year
• john-hewitt / backpacks-flash-attn
  The original Backpack Language Model implementation, a fork of FlashAttention
  ☆66Updated last year
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• machelreid / diffuser
  DiffusER: Discrete Diffusion via Edit-based Reconstruction (Reid, Hellendoorn & Neubig, 2022)
  ☆54Updated last year
• uds-lsv / MCSE
  NAACL 2022: MCSE: Multimodal Contrastive Learning of Sentence Embeddings
  ☆55Updated 7 months ago
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆29Updated last year
• jzbjyb / ReAtt
  Retrieval as Attention
  ☆83Updated 2 years ago
• ZetangForward / Bridge_Gap_Diffusion
  ☆33Updated last year
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆38Updated last year
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆190Updated 2 years ago
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆86Updated last year
• cambridgeltl / composable-sft
  A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.
  ☆71Updated 5 months ago
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆241Updated last year
• mmatena / model_merging
  ☆62Updated 2 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
• nayeon7lee / FactualityPrompt
  ☆85Updated 2 years ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆96Updated last year
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆48Updated last year
• fuzihaofzh / AnalyzeParameterEfficientFinetune
  On the Effectiveness of Parameter-Efficient Fine-Tuning
  ☆38Updated last year
• allenai / hyperdecoders
  Codebase for Hyperdecoders https://arxiv.org/abs/2203.08304
  ☆11Updated 2 years ago
• jiacheng-ye / ZeroGen
  [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
  ☆46Updated 2 years ago
• tau-nlp / scrolls
  The official code of EMNLP 2022, "SCROLLS: Standardized CompaRison Over Long Language Sequences".
  ☆70Updated last year
• cliang1453 / SAGE
  No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)
  ☆30Updated 2 years ago
• guanzhchen / PETuning
  ☆33Updated last year
• McGill-NLP / polytropon
  ☆52Updated last year
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆62Updated 2 years ago