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Starred repositories
UAV Simulation Platform based on PX4, ROS and Gazebo
Time series forecasting with PyTorch
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch
Time-Series-Optimized Transformer for Observability
Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
A collection of time series with covariates/indicators to be ready-to-use for forecasting projects.
The official implementation of TPA: Tensor ProducT ATTenTion Transformer (T6) (https://arxiv.org/abs/2501.06425)
A unified framework for machine learning with time series
【持续更新中】 完全中文版的 Transformers 学习笔记及演示示例，支持 Jupyter Notebook，主要内容来自 🤗 Hugging Face 中关于 Transformers 的教材文档，在官方文档的基础上修改了部分示例的代码，补充在运行过程中遇到的问题和对应的解决方案。
Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
Main repository for the NREL-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.
The windpowerlib is a library to model the output of wind turbines and farms.
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
A modular framework for evaluating weather forecasts
Foundation Models for Time Series
Implementations, Pre-training Code and Datasets of Large Time-Series Models
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
list of open wind turbine data sets