lucidrains / taylor-series-linear-attentionLinks
Explorations into the recently proposed Taylor Series Linear Attention
☆99Updated 10 months ago
Alternatives and similar repositories for taylor-series-linear-attention
Users that are interested in taylor-series-linear-attention are comparing it to the libraries listed below
Sorting:
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated 8 months ago
- Implementation of Infini-Transformer in Pytorch☆111Updated 5 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆89Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆122Updated 10 months ago
- Implementation of a multimodal diffusion transformer in Pytorch☆102Updated last year
- [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"☆108Updated last month
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆108Updated 6 months ago
- Implementation of Agent Attention in Pytorch☆90Updated 11 months ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆54Updated last year
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆51Updated 2 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆127Updated 10 months ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- research impl of Native Sparse Attention (2502.11089)☆54Updated 4 months ago
- Griffin MQA + Hawk Linear RNN Hybrid☆87Updated last year
- WIP☆93Updated 10 months ago
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆89Updated last year
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆46Updated last year
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆64Updated 2 weeks ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆84Updated this week
- supporting pytorch FSDP for optimizers☆82Updated 6 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 6 months ago
- ☆37Updated last year
- Accelerated First Order Parallel Associative Scan☆182Updated 10 months ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆82Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆127Updated last year
- ☆53Updated last year
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆124Updated last year
- ☆78Updated 11 months ago