lucidrains / simplicial-attentionLinks
Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Roy et al. (2025)
☆47Updated last month
Alternatives and similar repositories for simplicial-attention
Users that are interested in simplicial-attention are comparing it to the libraries listed below
Sorting:
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆91Updated 3 months ago
- Flash Attention Triton kernel with support for second-order derivatives☆94Updated this week
- Implementation of Infini-Transformer in Pytorch☆113Updated 9 months ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- research impl of Native Sparse Attention (2502.11089)☆61Updated 7 months ago
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.☆70Updated last month
- Implementation of Agent Attention in Pytorch☆92Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆122Updated 11 months ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆125Updated 10 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated 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
- Self contained pytorch implementation of a sinkhorn based router, for mixture of experts or otherwise☆38Updated last year
- ☆58Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆91Updated last year
- JAX Scalify: end-to-end scaled arithmetics☆16Updated 11 months ago
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆38Updated 7 months ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆66Updated last month
- Explorations into improving ViTArc with Slot Attention☆43Updated 11 months ago
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆56Updated 6 months ago
- Official implementation of the paper: "ZClip: Adaptive Spike Mitigation for LLM Pre-Training".☆133Updated 3 weeks ago
- Griffin MQA + Hawk Linear RNN Hybrid☆89Updated last year
- Implementation of a Light Recurrent Unit in Pytorch☆48Updated 11 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆102Updated 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 2 years ago
- 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 whether a transformer with RL can direct a genetic algorithm to converge faster☆71Updated 4 months ago
- ☆33Updated 8 months ago
- Here we will test various linear attention designs.☆62Updated last year