Alternatives and similar repositories for top_k_attention

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

• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆86Updated 2 years ago
• CyndxAI / QKNorm
  Code for the paper "Query-Key Normalization for Transformers"
  ☆47Updated 4 years ago
• berlino / gated_linear_attention
  ☆106Updated last year
• pkuzengqi / Skyformer
  Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
  ☆62Updated 3 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆65Updated 3 years ago
• OpenNLPLab / Transnormer
  [EMNLP 2022] Official implementation of Transnormer in our EMNLP 2022 paper - The Devil in Linear Transformer
  ☆62Updated 2 years ago
• sanagno / adaptively_sparse_attention
  ☆21Updated 2 years ago
• jungokasai / T2R
  ☆14Updated 2 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• 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 2 months ago
• cheneydon / efficient-bert
  This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron …
  ☆33Updated 2 years ago
• teelinsan / parallel-decoding
  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
  ☆120Updated last year
• ahennequ / pytorch-custom-mma
  ☆29Updated 2 years ago
• microsoft / EfficientLongSequenceModeling
  ☆51Updated 2 years ago
• lsj2408 / URPE
  [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)
  ☆33Updated 2 years ago
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated 2 years ago
• kssteven418 / LTP
  [KDD'22] Learned Token Pruning for Transformers
  ☆99Updated 2 years ago
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆74Updated 4 years ago
• microsoft / SparseMixer
  Sparse Backpropagation for Mixture-of-Expert Training
  ☆30Updated 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…
  ☆54Updated 2 years ago
• jzbjyb / ReAtt
  Retrieval as Attention
  ☆83Updated 2 years ago
• Noahs-ARK / RFA
  ☆33Updated 4 years ago
• varunnair18 / FISH
  Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
  ☆59Updated 3 years ago
• ylsung / vl-merging
  PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"
  ☆37Updated last year
• allenai / staged-training
  Staged Training for Transformer Language Models
  ☆32Updated 3 years ago
• facebookresearch / iclmlp
  Experiments for "A Closer Look at In-Context Learning under Distribution Shifts"
  ☆19Updated 2 years ago
• wjxts / RegularizedBN
  ☆21Updated 2 years ago
• mlpc-ucsd / BERT_Convolutions
  (ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.
  ☆21Updated 3 years ago
• Hunter-DDM / stablemoe
  Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"
  ☆48Updated 3 years ago
• sunyt32 / torchscale
  Transformers at any scale
  ☆41Updated last year