Alternatives and similar repositories for Tnn:

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

• OpenNLPLab / Transnormer
  [EMNLP 2022] Official implementation of Transnormer in our EMNLP 2022 paper - The Devil in Linear Transformer
  ☆60Updated last year
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆64Updated last year
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆87Updated 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…
  ☆51Updated 2 years ago
• HazyResearch / prefix-linear-attention
  ☆53Updated 10 months ago
• berlino / gated_linear_attention
  ☆103Updated last year
• Doraemonzzz / tnn-pytorch
  ☆20Updated 2 years ago
• lsj2408 / URPE
  [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)
  ☆34Updated last year
• OpenNLPLab / ETSC-Exact-Toeplitz-to-SSM-Conversion
  [EMNLP 2023] Official implementation of the algorithm ETSC: Exact Toeplitz-to-SSM Conversion our EMNLP 2023 paper - Accelerating Toeplitz…
  ☆14Updated last year
• proger / hippogriff
  Griffin MQA + Hawk Linear RNN Hybrid
  ☆86Updated last year
• chijames / KERPLE
  ☆19Updated 2 years ago
• shaochenze / PatchTrain
  Code for paper "Patch-Level Training for Large Language Models"
  ☆84Updated 5 months ago
• yegcjs / DiffusionLLM
  Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"
  ☆77Updated last year
• google-deepmind / randomized_positional_encodings
  Randomized Positional Encodings Boost Length Generalization of Transformers
  ☆81Updated last year
• OpenSparseLLMs / MoM
  ☆78Updated 2 weeks ago
• gregorbachmann / Next-Token-Failures
  ☆84Updated last year
• zhixuan-lin / forgetting-transformer
  [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"
  ☆99Updated last month
• YuchuanTian / DiJiang
  [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…
  ☆101Updated 10 months ago
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated last year
• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆85Updated 2 years ago
• sustcsonglin / linear-attention-and-beyond-slides
  ☆71Updated 2 months ago
• bojone / FSQ
  Keras implement of Finite Scalar Quantization
  ☆71Updated last year
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆60Updated 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
• haoliuhl / language-quantized-autoencoders
  Language Quantized AutoEncoders
  ☆105Updated 2 years ago
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆52Updated last month
• fkodom / soft-mixture-of-experts
  PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)
  ☆71Updated last year
• yikangshen / MoA
  Mixture of Attention Heads
  ☆44Updated 2 years ago
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• transformer-vq / transformer_vq
  ☆190Updated last year