The GitHub repository for the paper "Informer" accepted by AAAI 2021.

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

Gaussian processes framework in python

GPstuff - Gaussian process models for Bayesian analysis

Multi-Output Gaussian Process Toolkit

Continual Gaussian Processes

A highly efficient implementation of Gaussian Processes in PyTorch

Gaussian processes in TensorFlow

A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"

Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"

Latent diffusion for generative precipitation nowcasting

Máquinas de soporte vectorial - Múltiples entradas & Múltiples salidas

multiple input, multiple output support vector regression

PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.

MSVR (Multiple Support Vector Regression) python module

MSVR (Multiple-output Support Vector Regression) python module

Include BP / GA_SVM / GS_SVM / KNN / LDA / PCA / PSO_SVM

利用PSO优化的SVM进行期货预测

Prediction of multidimensional time-series data using a recurrent neural network (RNN) trained by real-time recurrent learning (RTRL), unbiased online recurrent optimization (UORO), least mean squa…

Multiple linear regression (MLR), also known simply as multiple regression, is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

The development of multi-target linear regression in the agricultural field is the subject of this research. For crop size prediction, some regression approaches such as polynomials and lasso are a…

Randomized output tree for multilabel / multi-output regression tasks

Multi-output Least-Squares Support Vector Regressor

A Multi-Output Regression Framework in Python

Exersice of a multi-output regression using TensorFlow

MultiOutput Classification and Regression model with Tensorflow

Multi-output Gaussian process regression via multi-task neural network