Normalize MR image intensities in Python

BoolTest - polynomial randomness tester

This application uses two types of TRNGs - True Random Number Generators (TrueRNG and Bitbbabler) for data collection and statistical analysis for several purposes, including mind-matter interaction research.

This system is designed to provide valuable insights into future market movements, enabling users to make informed decisions regarding their investments without directly executing trades. It leverages the VIX (CBOE Volatility Index) as a key indicator for predicting trends, in the SPY (S&P 500 ETF) market.

Intelligent disaster detection platform analyzing tweets in real-time using anomaly detection, spaCy NER, and Leaflet visualization with Twilio SMS integration.

This is pypi package for outlier detection

Automating the process of data entry from financial statements and predicting the solvency of the companies

1-Outlier detection and removal of the outlier by Using IQR The Data points consider outliers if it's below the first quartile or above the third quartile 2-Remove the Outliers by using the percentile 3-Remove the outliers by using zscore and standard deviation

Real time anomaly detection and visualization

📊 Measure Z-scores directly on any chart — Windows tray tool, no setup required

Scrap a web page's main content based on the z-score (HTML Tags' paths with abnormally long texts will be caught by this method)