buttercutter / Mamba_SSMLinks
A simple implementation of [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://arxiv.org/abs/2312.00752)
☆22Updated last year
Alternatives and similar repositories for Mamba_SSM
Users that are interested in Mamba_SSM are comparing it to the libraries listed below
Sorting:
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆49Updated 2 years ago
- Triton Implementation of HyperAttention Algorithm☆48Updated 2 years ago
- Here we will test various linear attention designs.☆62Updated last year
- ☆24Updated last year
- Simple notebooks to learn diffusion models on toy datasets☆17Updated 2 years ago
- Experimental scripts for researching data adaptive learning rate scheduling.☆22Updated 2 years ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆121Updated last year
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆46Updated 2 years ago
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- Xmixers: A collection of SOTA efficient token/channel mixers☆28Updated 4 months ago
- MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248☆58Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆56Updated last year
- Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Ro…☆46Updated 4 months ago
- ☆29Updated 3 years ago
- Triton implement of bi-directional (non-causal) linear attention☆60Updated 11 months ago
- Implementation of Agent Attention in Pytorch☆93Updated last year
- Implementation of Infini-Transformer in Pytorch☆112Updated last year
- ImageNet-12k subset of ImageNet-21k (fall11)☆21Updated 2 years ago
- Implementation of a Light Recurrent Unit in Pytorch☆49Updated last year
- ☆32Updated last year
- Official code for the paper "Attention as a Hypernetwork"☆46Updated last year
- Implementation of a modular, high-performance, and simplistic mamba for high-speed applications☆40Updated last year
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆41Updated 2 weeks ago
- Directed masked autoencoders☆14Updated this week
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆37Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Updated 2 years ago
- Pytorch Implementation of the sparse attention from the paper: "Generating Long Sequences with Sparse Transformers"☆93Updated 2 months ago
- Hacks for PyTorch☆19Updated 2 years ago
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719☆22Updated last year