NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Searches through git repositories for high entropy strings and secrets, digging deep into commit history
Non-parametric Entropy Estimation Toolbox
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
AntroPy: entropy and complexity of (EEG) time-series in Python
Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
Key Negotiation Of Bluetooth (KNOB) attacks on Bluetooth BR/EDR and BLE [CVE-2019-9506]
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
EntroPy: complexity of time-series in Python (DEPRECATED)
Estimators for the entropy and other information theoretic quantities of continuous distributions
Monitor, Alert, and Discover sensitive info and data leakage on Github.
Evaluate your dialog model with 17 metrics! (see paper)
Decoding Tree Sketching (DTS): a training-free & model agonistic & plug-in framework for LLM parallel reasoning.
Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018
Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.
Simple tool to graph files for quick analysis
Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm
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