test-time-training / ttt-lm-pytorchLinks
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
☆1,252Updated last year
Alternatives and similar repositories for ttt-lm-pytorch
Users that are interested in ttt-lm-pytorch are comparing it to the libraries listed below
Sorting:
- Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States☆421Updated last year
- Collection of papers on state-space models☆600Updated last week
- A simple and efficient Mamba implementation in pure PyTorch and MLX.☆1,317Updated 9 months ago
- [ICLR2025 Spotlight🔥] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters☆572Updated 7 months ago
- Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI☆1,203Updated 2 months ago
- Awesome Papers related to Mamba.☆1,376Updated 11 months ago
- Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper☆744Updated last month
- Muon is an optimizer for hidden layers in neural networks☆1,710Updated 2 months ago
- Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch☆1,455Updated 3 months ago
- [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation☆851Updated 11 months ago
- PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437☆1,163Updated 6 months ago
- Code release for DynamicTanh (DyT)☆1,012Updated 5 months ago
- Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)☆170Updated last year
- ☆605Updated 5 months ago
- PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838☆1,732Updated 11 months ago
- [Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications☆732Updated 2 months ago
- Build high-performance AI models with modular building blocks☆550Updated last week
- 🚀 Efficient implementations of state-of-the-art linear attention models☆3,281Updated this week
- An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"☆1,204Updated last year
- Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models☆819Updated 2 months ago
- H-Net: Hierarchical Network with Dynamic Chunking☆713Updated last month
- The official implementation of TPA: Tensor ProducT ATTenTion Transformer (T6) (https://arxiv.org/abs/2501.06425)☆385Updated 3 weeks ago
- Simple, minimal implementation of the Mamba SSM in one file of PyTorch.☆2,852Updated last year
- Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch☆749Updated last month
- We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard laten…☆878Updated 8 months ago
- A collection of AWESOME things about mixture-of-experts☆1,202Updated 9 months ago
- A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models☆808Updated 2 years ago
- Reading list for research topics in state-space models☆322Updated 3 months ago
- PyTorch implementation of RCG https://arxiv.org/abs/2312.03701☆927Updated 11 months ago
- This repo contains the code for 1D tokenizer and generator☆1,027Updated 5 months ago