Alternatives and similar repositories for dynamic-pooling

Users that are interested in dynamic-pooling are comparing it to the libraries listed below

• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆136Updated last year
• john-hewitt / backpacks-flash-attn
  The original Backpack Language Model implementation, a fork of FlashAttention
  ☆69Updated 2 years ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆33Updated last month
• babylm / evaluation-pipeline-2023
  Evaluation pipeline for the BabyLM Challenge 2023.
  ☆76Updated last year
• microsoft / EfficientLongSequenceModeling
  ☆51Updated 2 years ago
• XuezheMax / fairseq-apollo
  FairSeq repo with Apollo optimizer
  ☆114Updated last year
• rabeehk / compacter
  ☆129Updated 2 years ago
• deep-spin / infinite-former
  ☆66Updated 11 months ago
• naver / disco
  A Toolkit for Distributional Control of Generative Models
  ☆73Updated last week
• bigscience-workshop / architecture-objective
  ☆97Updated 2 years ago
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆58Updated 2 years ago
• chijames / KERPLE
  ☆19Updated 2 years ago
• cimeister / typical-sampling
  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
  ☆82Updated 3 years ago
• machelreid / diffuser
  DiffusER: Discrete Diffusion via Edit-based Reconstruction (Reid, Hellendoorn & Neubig, 2022)
  ☆54Updated this week
• jxiw / BiGS
  Official Repository of Pretraining Without Attention (BiGS), BiGS is the first model to achieve BERT-level transfer learning on the GLUE …
  ☆114Updated 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…
  ☆132Updated last year
• martiansideofthemoon / rankgen
  Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arx…
  ☆136Updated 2 years ago
• google-deepmind / randomized_positional_encodings
  Randomized Positional Encodings Boost Length Generalization of Transformers
  ☆82Updated last year
• SimengSun / ChapterBreak
  ☆11Updated last year
• cliang1453 / SAGE
  No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)
  ☆30Updated 3 years ago
• guy-dar / embedding-space
  ☆54Updated 2 years ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆94Updated 3 years ago
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆66Updated last year
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆99Updated 2 years ago
• Shark-NLP / CAB
  ☆31Updated 2 years ago
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated last year
• facebookresearch / NPM
  The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)
  ☆157Updated 2 years ago
• benzakenelad / BitFit
  Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
  ☆142Updated 2 years ago
• HazyResearch / prefix-linear-attention
  ☆55Updated last year
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago