lucidrains / kalman-filtering-attentionLinks
Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"
☆59Updated 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
Sorting:
- 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
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆122Updated 11 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆91Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Implementation of Infini-Transformer in Pytorch☆113Updated 9 months ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆51Updated last year
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆54Updated 6 months ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆125Updated 10 months ago
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆38Updated 7 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…☆53Updated last year
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆95Updated 2 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆56Updated 2 years ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 8 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆91Updated 3 months ago
- Implementation of a Light Recurrent Unit in Pytorch☆49Updated last year
- Implementation of Agent Attention in Pytorch☆92Updated last year
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆33Updated 2 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- Local Attention - Flax module for Jax☆22Updated 4 years ago
- Self contained pytorch implementation of a sinkhorn based router, for mixture of experts or otherwise☆38Updated last year
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆32Updated 3 years ago
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆110Updated last month
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆94Updated 3 years ago
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆90Updated last year
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆125Updated last year
- Implementation of Perceiver AR, Deepmind's new long-context attention network based on Perceiver architecture, in Pytorch☆92Updated 2 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆207Updated 2 years ago