bdusell / stack-attention
Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"
☆17Updated last year
Alternatives and similar repositories for stack-attention:
Users that are interested in stack-attention are comparing it to the libraries listed below
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- Official code for the paper "Attention as a Hypernetwork"☆25Updated 9 months ago
- ☆18Updated 10 months ago
- ☆33Updated last year
- [ICLR'25] "Understanding Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing" by Peihao Wang, Ruisi Cai, Yue…☆11Updated last week
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Unofficial implementation of paper : Exploring the Space of Key-Value-Query Models with Intention☆11Updated last year
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated this week
- Efficient Scaling laws and collaborative pretraining.☆16Updated 2 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆26Updated 11 months ago
- PyTorch implementation for PaLM: A Hybrid Parser and Language Model.☆10Updated 5 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last year
- ☆23Updated 6 months ago
- Combining SOAP and MUON☆13Updated last month
- Xmixers: A collection of SOTA efficient token/channel mixers☆11Updated 4 months ago
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆30Updated 2 weeks ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 6 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"☆13Updated 6 months ago
- ☆16Updated last week
- ☆11Updated last year
- Blog post☆17Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated 9 months ago
- [Oral; Neurips OPT2024 ] μLO: Compute-Efficient Meta-Generalization of Learned Optimizers☆12Updated 2 weeks ago
- HGRN2: Gated Linear RNNs with State Expansion☆53Updated 7 months ago
- Using FlexAttention to compute attention with different masking patterns☆42Updated 6 months ago
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆36Updated last year
- Implementation of the model "Hedgehog" from the paper: "The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry"☆13Updated last year
- HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation [ACL 2023]☆14Updated last year
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year