lucidrains / kalman-filtering-attention
Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"
☆57Updated last year
Alternatives and similar repositories for kalman-filtering-attention:
Users that are interested in kalman-filtering-attention are comparing it to the libraries listed below
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆97Updated last year
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆55Updated 9 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆92Updated 6 months ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 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
- Implementation of GateLoop Transformer in Pytorch and Jax☆87Updated 8 months ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆53Updated 2 years ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆115Updated 4 months ago
- Implementation of a Light Recurrent Unit in Pytorch☆48Updated 4 months ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆48Updated 3 years ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆102Updated 2 months ago
- Implementation of the proposed Spline-Based Transformer from Disney Research☆86Updated 3 months ago
- Implementation of Infini-Transformer in Pytorch☆109Updated last month
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 3 weeks ago
- Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models☆30Updated 2 years ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆49Updated 6 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆73Updated this week
- Implementation of Perceiver AR, Deepmind's new long-context attention network based on Perceiver architecture, in Pytorch☆86Updated last year
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆85Updated last year
- ☆29Updated 2 years ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆44Updated this week
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆87Updated last year
- ☆33Updated last year
- Implementation of Agent Attention in Pytorch☆89Updated 7 months ago
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆120Updated 6 months ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆122Updated 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
- My attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation☆83Updated 4 months ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆34Updated last year