kyegomez / DifferentialTransformerLinks
An open source community implementation of the model from "DIFFERENTIAL TRANSFORMER" paper by Microsoft.
☆38Updated this week
Alternatives and similar repositories for DifferentialTransformer
Users that are interested in DifferentialTransformer are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the Differential-Transformer architecture for sequence modeling, specifically tailored as a decoder-only model …☆85Updated last year
- ☆140Updated last year
- ☆254Updated 2 months ago
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆302Updated last year
- Minimal Mamba-2 implementation in PyTorch☆241Updated last year
- RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks☆121Updated last year
- Simba☆215Updated last year
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆118Updated this week
- Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆56Updated 2 months ago
- 🕹️The toy examples of Kolmogorov-Arnold Network (Get Started Quickly)☆75Updated last year
- Implementation of Switch Transformers from the paper: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficien…☆135Updated last week
- Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting☆49Updated 5 months ago
- Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling☆213Updated last week
- Pytorch implementation of the xLSTM model by Beck et al. (2024)☆181Updated last year
- The code of the CIKM'25 paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting"☆212Updated 2 months ago
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆91Updated last year
- tinybig for deep function learning☆60Updated 7 months ago
- ☆88Updated 10 months ago
- Resources about xLSTM by Sepp Hochreiter☆318Updated last year
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆215Updated 11 months ago
- Pytorch Implementation of the sparse attention from the paper: "Generating Long Sequences with Sparse Transformers"☆93Updated last week
- Official repository for CVPR24 Precognition Workshop Paper: VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotem…☆158Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆208Updated last year
- [Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications☆745Updated 6 months ago
- A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.☆693Updated 4 months ago
- State Space Models☆71Updated last year
- Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Ze…☆119Updated last week
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆130Updated last month
- Collection of papers on state-space models☆615Updated 2 months ago
- This is an official repository for "Harnessing Vision Models for Time Series Analysis: A Survey".☆68Updated 2 weeks ago