Comparative analysis of pairwise interactions in multivariate time series.

Python package of EDM tools

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

Repository for the metapopulation model of a P.a. lung infection

Examples and guides for using the OpenAI API

Everything you need to know to get the job.

A Library for Advanced Deep Time Series Models.

MCHMC: sampler from an arbitrary differentiable distribution

Fork of MITgcm with Darwin ecosystem model added

Bootstrap style template for academic website

Must-read papers on graph neural networks (GNN)

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

Inference code for CodeLlama models

Collection of notebooks about quantitative finance, with interactive python code.

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

The Vega landing page.

Research workflows made easy, locally and in the Cloud.