All Cursor AI's official download links for both the latest and older versions, making it easy for you to update, downgrade, and choose any version. 🚀

General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.

PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems

Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)

Forecast evaluation library

Open Infrastructure Map

Spatio-Temporal Prediction Paper List

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

Lightning ⚡️ fast forecasting with statistical and econometric models.

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

Implementation of the ISO 15118 Communication Protocol (-2, -20, -8)

Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".

This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning by X. Zhang, K. Zhang, Z. Li, and X. Yin. The objective of th…

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

A V2G Simulation Environment for large scale EV charging optimization

DRL-based ESSs scheduling environments in distribution networks.

A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens

[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Clean APIs for data cleaning. Python implementation of R package Janitor

TODS: An Automated Time-series Outlier Detection System

TorchEEG is a library built on PyTorch for EEG signal analysis.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.

Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)

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A flexible framework to model power systems and benchmark safe controllers

Dataframes powered by a multithreaded, vectorized query engine, written in Rust