9 skills found
liquidSVM / LiquidSVMSupport vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
tianchen101 / MQRNNMulti-Quantile Recurrent Neural Network for Quantile Regression
BinHuangScut / QTCNThis repository holds the code and data for "Multi-task Learning Based Attentive Quantile Regression Temporal Convolutional Network for Multi-energy Probabilistic Load Forecasting"
LorenzoAusiello / Multi Sources Quantile Regression Neural Network In QWIMThis project presents the application of a MS-QRNN model designed to estimate Value at Risk accurately by integrating both numerical financial time-series data and textual data. The model incorporates NLP techniques, including FinBERT for textual analysis, and Neural Network architectures to predict the quantiles of asset return distributions.
abel-keya / Multiple Linear Regression Multivariate Quantile Regression Ridge Regression Lasso Regression AndMultiple Linear Regression ,Multivariate Quantile Regression, Ridge Regression, Lasso Regression and Elastic Net Regression
kochlisGit / VIT2This repository is the implementation of the paper: ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. ViT2 is a framework designed to address generalization & transfer learning limitations of Time-Series-based forecasting models by encoding the time-series to images using GAF and a modified ViT architecture.
AlchemistMartin / Quantile RegressionQuantile regression using keras multi output
lvluna / Urban Landslide ThresholdsBayesian multi-level quantile regression to estimate rainfall intensity-duration thresholds for shallow landsliding in cities worldwide.
kyaiooiayk / Uncertainty Quantification For Machine Learning NotesUncertainty quantification fo ML - collection of scripts, tutorials and templates
