lucidrains / autoregressive-linear-attention-cudaLinks
CUDA implementation of autoregressive linear attention, with all the latest research findings
☆46Updated 2 years ago
Alternatives and similar repositories for autoregressive-linear-attention-cuda
Users that are interested in autoregressive-linear-attention-cuda 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☆47Updated 2 years ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆55Updated 10 months 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 5 months ago
- ☆29Updated 3 years ago
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆92Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Updated 2 years ago
- Triton Implementation of HyperAttention Algorithm☆48Updated 2 years ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆122Updated last year
- Implementation of a holodeck, written in Pytorch☆18Updated 2 years ago
- Utilities for Training Very Large Models☆58Updated last year
- Experiment of using Tangent to autodiff triton☆82Updated 2 years ago
- Automatically take good care of your preemptible TPUs☆37Updated 2 years ago
- ☆34Updated last year
- Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.☆46Updated last year
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆41Updated last month
- ☆32Updated 2 years ago
- ☆62Updated last year
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆102Updated 2 years ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated last year
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- ☆52Updated last year
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆98Updated 4 years ago
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆97Updated 2 years ago
- Implementation of Infini-Transformer in Pytorch☆112Updated last year
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated 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 2 years ago
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆50Updated 2 years ago
- Implementation of fused cosine similarity attention in the same style as Flash Attention☆220Updated 2 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆57Updated 3 years ago