Alternatives and similar repositories for Curse-of-memory

Users that are interested in Curse-of-memory are comparing it to the libraries listed below

• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆65Updated last year
• lsj2408 / URPE
  [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)
  ☆33Updated 2 years ago
• maximzubkov / fft-scan
  Efficient PScan implementation in PyTorch
  ☆17Updated last year
• Doraemonzzz / hgru2-pytorch
  ☆23Updated last year
• sustcsonglin / gated_linear_attention_layer
  ☆31Updated last year
• Doraemonzzz / tnn-pytorch
  ☆19Updated 2 years ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• RakitinDen / pytorch-recursive-gumbel-max-trick
  Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
  ☆13Updated 3 years ago
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆28Updated 4 years ago
• bdusell / stack-attention
  Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"
  ☆18Updated last year
• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆55Updated last year
• Doraemonzzz / hgru-pytorch
  ☆28Updated last year
• Benjamin-Walker / selective-ssms-and-linear-cdes
  Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)
  ☆15Updated 10 months ago
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆55Updated 4 months ago
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• sustcsonglin / mamba-triton
  ☆48Updated last year
• krafton-ai / mambaformer-icl
  MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248
  ☆57Updated last year
• glassroom / heinsen_attention
  Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
  ☆24Updated last year
• Noahs-ARK / RFA
  ☆33Updated 4 years ago
• sjelassi / transformers_ssm_copy
  ☆35Updated last year
• IdoAmos / not-from-scratch
  ☆33Updated last year
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆127Updated 2 years ago
• OpenNLPLab / Tnn
  [ICLR 2023] Official implementation of Transnormer in our ICLR 2023 paper - Toeplitz Neural Network for Sequence Modeling
  ☆80Updated last year
• VITA-Group / Data-Efficient-Scaling
  [ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang
  ☆14Updated last year
• HazyResearch / prefix-linear-attention
  ☆57Updated last year
• jopetty / word-problem
  Experiments on the impact of depth in transformers and SSMs.
  ☆37Updated 3 weeks ago
• yikangshen / megablocks
  ☆20Updated last year
• IDSIA / rtrl-elstm
  Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)
  ☆13Updated 5 months ago
• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago