lucidrains / taylor-series-linear-attentionLinks
Explorations into the recently proposed Taylor Series Linear Attention
☆100Updated last year
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☆120Updated 10 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- Implementation of Infini-Transformer in Pytorch☆111Updated 8 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆123Updated 9 months ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆53Updated 5 months ago
- Griffin MQA + Hawk Linear RNN Hybrid☆89Updated last year
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆53Updated last year
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆89Updated 2 months ago
- Implementation of a multimodal diffusion transformer in Pytorch☆103Updated last year
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆89Updated last year
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆128Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 8 months ago
- ☆57Updated 11 months ago
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆37Updated 6 months ago
- ☆82Updated last year
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆124Updated last year
- Implementation of the Llama architecture with RLHF + Q-learning☆166Updated 7 months ago
- Implementation of Agent Attention in Pytorch☆91Updated last year
- [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning☆125Updated 3 weeks ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Ro…☆46Updated last week
- Here we will test various linear attention designs.☆62Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆88Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 7 months ago
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- ☆38Updated 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 2 years ago
- Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT☆220Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year