kyegomez / MambaFormer
Implementation of MambaFormer in Pytorch ++ Zeta from the paper: "Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks"
☆20Updated 3 weeks ago
Alternatives and similar repositories for MambaFormer:
Users that are interested in MambaFormer are comparing it to the libraries listed below
- [ICLR 2025] Official Code Release for Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation☆37Updated this week
- Implementation of a modular, high-performance, and simplistic mamba for high-speed applications☆33Updated 3 months ago
- HGRN2: Gated Linear RNNs with State Expansion☆53Updated 6 months ago
- Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆51Updated last month
- DeciMamba: Exploring the Length Extrapolation Potential of Mamba (ICLR 2025)☆23Updated 7 months ago
- Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"☆24Updated 3 weeks ago
- A Triton Kernel for incorporating Bi-Directionality in Mamba2☆61Updated 2 months ago
- Implementation of Agent Attention in Pytorch☆90Updated 7 months ago
- State Space Models☆64Updated 10 months ago
- Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Ze…☆96Updated last month
- ☆28Updated 4 months ago
- Explorations into improving ViTArc with Slot Attention☆37Updated 4 months ago
- Deep Networks Grok All the Time and Here is Why☆28Updated 9 months ago
- Implementation of Spectral State Space Models☆16Updated last year
- The official repository for HyperZ⋅Z⋅W Operator Connects Slow-Fast Networks for Full Context Interaction.☆31Updated 3 weeks ago
- [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models".☆37Updated 3 months ago
- Official implementation of "Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers"☆123Updated last month
- Source code for the paper "Positional Attention: Out-of-Distribution Generalization and Expressivity for Neural Algorithmic Reasoning"☆14Updated last month
- 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
- Pytorch (Lightning) implementation of the Mamba model☆25Updated 10 months ago
- More dimensions = More fun☆21Updated 7 months ago
- ☆24Updated 5 months ago
- Evaluating the Mamba architecture on the Othello game☆44Updated 10 months ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆71Updated last year
- A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series…☆27Updated 3 months ago
- Towards Understanding the Mixture-of-Experts Layer in Deep Learning☆22Updated last year
- Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models☆13Updated 11 months ago
- A single repo with all scripts and utils to train / fine-tune the Mamba model with or without FIM☆52Updated 10 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆87Updated 8 months ago
- Official PyTorch Implementation of "The Hidden Attention of Mamba Models"☆214Updated 9 months ago