Acycle: Time-series analysis software for research and education
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Updated
Mar 20, 2024 - MATLAB
Acycle: Time-series analysis software for research and education
Code release for "STMask: Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation"(CVPR2021)
Efficient ways to compute Pearson's correlation between columns of two matrices in various scientific computing languages
vasco: MIC & MINE statistics for Postgres
Routines for exploratory data analysis.
A system to recognize hand gestures by applying feature extraction, feature selection (PCA) and classification (SVM, decision tree, Neural Network) on the raw data captured by the sensors while performing the gestures.
A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.
10 Days of Statistics Challenges at HackerRank
Correlation coefficients with uncertainties
Robustness of DWT vs DCT is graded based on the quality of extracted watermark. The measure used is the Correlation coefficient (0-100%).
A package that calculates correlation between two arrays. Simple, with no dependencies
A Matlab utility for plotting correlation matrices, with similar appearance to Seaborn in Python.
Multiple ways to select feature from data
Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (m…
Regression with Python & R.
Functions and analyses to illustrate the performance of correction methods that allow averaging correlation coefficients.
Covariance and correlation matrix via Rhadoop (rmr2 and HDFS)
Machine learning functions written in goLang:
A O(n^2) algorithm for brute-forcing Pearson Correlation Coefficients
Trabalho Interdisciplinar entre as matérias de Linguagens de Programação, Interação Homem Computador e Probabilidade e Estatistica Aplicada, no curso de Sistemas de Informação - 3º Semestre
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