This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”

📊 数据挖掘常用算法：关联分析Apriori算法，数据分类决策树算法，数据聚类K-means算法

correlationMatrix is a Python powered library for the statistical analysis and visualization of correlations

Open-source statistical package in Python based on Pandas

collection of utility functions for correlation analysis

以化学工业反应为例的因果门控时间序列神经网络 / Causal gated time series neural network based on chemical industry reaction

Time-Series Modeling of Bitcoin for Equities, Commodities & Forex Markets

Capstone project for The Data Incubator ('18). Plots SCOTUS vs. public opinion polarity over time given keywords.

Scalable code to solve SUMCOR Generalized CCA problem with missing views.

A code that populates dark matter halos and computes correlation functions

Code for performing regression analysis and data visualisation on UN emission data 1970-2017

This project uses the statistical data of Hebei Province from 2011 to 2017 to analyze the consumer consumption index and the service price index and the consumer price index. Using python3.6 as a development tool, the correlation coefficient is calculated on a monthly basis, and the correlation curve is drawn.

Solutions to the Transport-of-Intensity Equation (Speckle-Tracking, Paganin Algorithm etc.,)

Correlation Trend Application This Streamlit-based web application allows users to analyze the correlation trends of the top 10 cryptocurrencies in relation to Bitcoin (BTC) and visualize these trends in a table.

A package for studying how things change together.

Source code used to support the Master's thesis "Descriptive and Predictive Modeling of Water Distribution Network Dynamics using Multivariate Time Series Data"

Analyze different types of correlations between parameters.

Devising PoPStat: A metric bridging population pyramids with global disease mortality

Capstone project for Indiana University. This project provides correlation analysis of source attribution errors in memory recall between physical stimulus and stimulus experienced in virtual reality. 2021

A statistical framework for estimation of local stratigraphy with uncertainty from drillhole lithology data.