Alternatives and similar repositories for infinite-former:

Users that are interested in infinite-former are comparing it to the libraries listed below

• HazyResearch / prefix-linear-attention
  ☆51Updated 8 months ago
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆130Updated 10 months ago
• lucidrains / product-key-memory
  Standalone Product Key Memory module in Pytorch - for augmenting Transformer models
  ☆78Updated 7 months ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆33Updated 3 years ago
• bigscience-workshop / architecture-objective
  ☆95Updated last year
• PiotrNawrot / dynamic-pooling
  Efficient Transformers with Dynamic Token Pooling
  ☆60Updated last year
• sunyt32 / torchscale
  Transformers at any scale
  ☆41Updated last year
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆64Updated 10 months ago
• chijames / KERPLE
  ☆19Updated 2 years ago
• lucidrains / memory-editable-transformer
  My explorations into editing the knowledge and memories of an attention network
  ☆34Updated 2 years ago
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆48Updated 3 years ago
• booydar / LM-RMT
  Recurrent Memory Transformer
  ☆150Updated last year
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆44Updated last year
• microsoft / EfficientLongSequenceModeling
  ☆51Updated 2 years ago
• sustcsonglin / mamba-triton
  ☆47Updated last year
• google-deepmind / randomized_positional_encodings
  Randomized Positional Encodings Boost Length Generalization of Transformers
  ☆79Updated last year
• lucidrains / gated-state-spaces-pytorch
  Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
  ☆99Updated 2 years ago
• babylm / evaluation-pipeline-2023
  Evaluation pipeline for the BabyLM Challenge 2023.
  ☆75Updated last year
• OpenNLPLab / Tnn
  [ICLR 2023] Official implementation of Transnormer in our ICLR 2023 paper - Toeplitz Neural Network for Sequence Modeling
  ☆79Updated 10 months ago
• RobertCsordas / moe
  Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"
  ☆36Updated last year
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆137Updated last year
• SimengSun / ChapterBreak
  ☆11Updated 9 months ago
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆36Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆96Updated 11 months ago
• Shark-NLP / CAB
  ☆30Updated last year
• lucidrains / memformer
  Implementation of Memformer, a Memory-augmented Transformer, in Pytorch
  ☆112Updated 4 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆42Updated last year
• lucidrains / ponder-transformer
  Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper
  ☆80Updated 3 years ago
• 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 2 years ago