NX-AI / xlstmLinks
Official repository of the xLSTM.
☆2,069Updated last month
Alternatives and similar repositories for xlstm
Users that are interested in xlstm are comparing it to the libraries listed below
Sorting:
- Resources about xLSTM by Sepp Hochreiter☆318Updated last year
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆302Updated last year
- A simple and efficient Mamba implementation in pure PyTorch and MLX.☆1,384Updated last year
- ☆749Updated last year
- This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing th…☆908Updated 8 months ago
- Simple, minimal implementation of the Mamba SSM in one file of PyTorch.☆2,905Updated last year
- Structured state space sequence models☆2,798Updated last year
- Pytorch implementation of the xLSTM model by Beck et al. (2024)☆180Updated last year
- A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and mor…☆3,136Updated this week
- An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).☆4,544Updated last year
- FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)☆456Updated last year
- Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group☆529Updated 6 months ago
- The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling☆726Updated last year
- Unified Training of Universal Time Series Forecasting Transformers☆1,343Updated last month
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆397Updated last year
- Implementation of the proposed minGRU in Pytorch☆313Updated last week
- Schedule-Free Optimization in PyTorch☆2,240Updated 6 months ago
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆90Updated last year
- TKAN: Temporal Kolmogorov-Arnold Networks☆221Updated last year
- An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"☆1,209Updated 2 years ago
- xLSTMTime for time series forecasting☆179Updated last year
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆261Updated last year
- Code release for DynamicTanh (DyT)☆1,028Updated 8 months ago
- Code for "Is Mamba Effective for Time Series Forecasting?"☆358Updated 7 months ago
- Build high-performance AI models with modular building blocks☆574Updated last month
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆1,935Updated 5 months ago
- Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch☆1,693Updated 3 weeks ago
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting☆1,515Updated 6 months ago
- [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"☆848Updated last week
- Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"☆565Updated last year