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☆99Updated 2 years ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆97Updated 7 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆55Updated 10 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆49Updated 8 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆87Updated 9 months ago
- 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 a Light Recurrent Unit in Pytorch☆47Updated 6 months ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆118Updated 5 months ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆54Updated 2 years ago
- Implementation of the proposed Spline-Based Transformer from Disney Research☆88Updated 5 months ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆50Updated 2 weeks ago
- Implementation of Agent Attention in Pytorch☆90Updated 9 months ago
- Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models☆30Updated 2 years ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆103Updated 4 months ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆50Updated 2 years ago
- ☆29Updated 2 years ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆58Updated 2 months ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆123Updated 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
- Implementation of Infini-Transformer in Pytorch☆110Updated 3 months ago
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆35Updated last month
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆48Updated 3 years ago
- FID computation in Jax/Flax.☆27Updated 8 months ago
- ☆45Updated 11 months ago
- ☆33Updated 7 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 2 months ago
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆91Updated last year
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆65Updated 6 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆82Updated last month