Alternatives and similar repositories for hypernetwork-attention

Users that are interested in hypernetwork-attention are comparing it to the libraries listed below

• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆54Updated last year
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• RobertCsordas / linear_layer_as_attention
  The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …
  ☆16Updated 3 months ago
• Doraemonzzz / hgru2-pytorch
  ☆23Updated 11 months ago
• Cranial-XIX / longhorn
  Official PyTorch Implementation of the Longhorn Deep State Space Model
  ☆53Updated 9 months ago
• RobertCsordas / moeut
  ☆85Updated last year
• zhixuan-lin / forgetting-transformer
  [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning
  ☆125Updated last month
• sustcsonglin / mamba-triton
  ☆49Updated last year
• gregorbachmann / scaling_mlps
  ☆51Updated last year
• RobertCsordas / moe
  Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"
  ☆38Updated 3 months ago
• zaydzuhri / flame
  Fork of Flame repo for training of some new stuff in development
  ☆17Updated last week
• g-luo / vlm_cross_modal_reps
  Official PyTorch Implementation for Vision-Language Models Create Cross-Modal Task Representations, ICML 2025
  ☆30Updated 4 months ago
• glassroom / heinsen_attention
  Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
  ☆24Updated last year
• google-deepmind / spectral_ssm
  ☆34Updated last year
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆33Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• sjelassi / transformers_ssm_copy
  ☆33Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆82Updated 10 months ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆44Updated 11 months ago
• lucidrains / taylor-series-linear-attention
  Explorations into the recently proposed Taylor Series Linear Attention
  ☆100Updated last year
• Doraemonzzz / xmixers
  Xmixers: A collection of SOTA efficient token/channel mixers
  ☆11Updated last week
• test-time-training / ttt-tk
  ☆40Updated 5 months ago
• edwardmilsom / function-space-learning-rates-paper
  Code for the paper "Function-Space Learning Rates"
  ☆23Updated 3 months ago
• gmongaras / Cottention_Transformer
  Code for the paper "Cottention: Linear Transformers With Cosine Attention"
  ☆18Updated 10 months ago
• HazyResearch / prefix-linear-attention
  ☆56Updated last year
• krafton-ai / mambaformer-icl
  MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248
  ☆56Updated last year
• wmn-231314 / diffusion-data-constraint
  Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion mod…
  ☆90Updated 2 weeks ago
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆18Updated 7 months ago
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated last year