Doraemonzzz / nanoTransNormerLinks
☆11Updated last year
Alternatives and similar repositories for nanoTransNormer
Users that are interested in nanoTransNormer are comparing it to the libraries listed below
Sorting:
- Efficient PScan implementation in PyTorch☆16Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Code for the paper: https://arxiv.org/pdf/2309.06979.pdf☆19Updated 10 months ago
- Official Repository for Efficient Linear-Time Attention Transformers.☆18Updated last year
- Combining SOAP and MUON☆16Updated 4 months ago
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆17Updated last year
- ☆20Updated last year
- Experiments on the impact of depth in transformers and SSMs.☆31Updated 7 months ago
- ☆48Updated last year
- Xmixers: A collection of SOTA efficient token/channel mixers☆11Updated 7 months ago
- ☆32Updated last year
- GoldFinch and other hybrid transformer components☆45Updated 11 months ago
- Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without…☆15Updated 3 months ago
- ☆22Updated this week
- ☆55Updated 11 months ago
- Official code for the paper "Attention as a Hypernetwork"☆39Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆37Updated last year
- Using FlexAttention to compute attention with different masking patterns☆44Updated 9 months ago
- ☆19Updated last month
- Here we will test various linear attention designs.☆59Updated last year
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆32Updated 10 months ago
- Implementation of Hyena Hierarchy in JAX☆10Updated 2 years ago
- RWKV model implementation☆38Updated last year
- RADLADS training code☆24Updated last month
- Parallel Associative Scan for Language Models☆18Updated last year
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- [Oral; Neurips OPT2024 ] μLO: Compute-Efficient Meta-Generalization of Learned Optimizers☆13Updated 3 months ago
- BigKnow2022: Bringing Language Models Up to Speed☆15Updated 2 years ago