andrewgcodes / xlstmLinks
my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture
☆134Updated last year
Alternatives and similar repositories for xlstm
Users that are interested in xlstm are comparing it to the libraries listed below
Sorting:
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆118Updated this week
- Resources about xLSTM by Sepp Hochreiter☆318Updated last year
- Pytorch implementation of the xLSTM model by Beck et al. (2024)☆181Updated last year
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆91Updated last year
- Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling☆213Updated last week
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆302Updated last year
- ☆58Updated last year
- This repository contains a better implementation of Kolmogorov-Arnold networks☆63Updated 7 months ago
- Variations of Kolmogorov-Arnold Networks☆116Updated last year
- A modified CNN architecture using Kolmogorov-Arnold Networks☆84Updated last year
- ☆97Updated last year
- TKAN: Temporal Kolmogorov-Arnold Networks☆224Updated last year
- Training small GPT-2 style models using Kolmogorov-Arnold networks.☆122Updated last year
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆401Updated last year
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆122Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated last year
- xLSTMTime for time series forecasting☆181Updated last year
- PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"☆203Updated 2 weeks ago
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆41Updated 10 months ago
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆260Updated last year
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆29Updated last year
- Unofficial Implementation of Long-term Forecasting with TiDE: Time-series Dense Encoder☆53Updated 2 years ago
- An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations☆187Updated last year
- Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.☆179Updated 2 years ago
- A single repo with all scripts and utils to train / fine-tune the Mamba model with or without FIM☆61Updated last year
- Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/…☆103Updated 8 months ago
- Benchmark for efficiency in memory and time of different KAN implementations.☆137Updated last year
- ☆254Updated 2 months ago
- Temporal Kolmogorov-Arnold Transformer☆85Updated last year
- Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆56Updated 2 months ago