Lecture notes of Professor Stéphane Mallat - Collège de France - Paris
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Updated
Jan 20, 2026 - Jupyter Notebook
Lecture notes of Professor Stéphane Mallat - Collège de France - Paris
resilience and prospective resilience of complex networks
Arithmetic coding library with statistical models like PPM and Context mixing (demonstrating core principles of probabilistic inference, ensemble learning in AI)
Signal analysis tool featuring FFT (fast Fourier transform), fractal dimension, entropy, and numerical differentiation and integration
Cài đặt thuật & tóm tắt lí thuyết Mã hóa mật mã - fit@hcmus
Entropy is a measure of the uncertainty in a random variable. This application calculates the entropy of text. The current example calculates the entropy of sequence "TTTAAGCC". In the context of information theory the term "Entropy" refers to the Shannon entropy.
This application calculates the entropy of a string. The focus of this implementation is represented by a specialized function called "entropy" which receives a text sequence as a parameter and returns a value that represents the entropy. Entropy is a measure of the uncertainty in a random variable.
A way to analyse how malware and/or goodware samples vary from each other using Shannon Entropy, Hausdorff Distance and Jaro-Winkler Distance
Content-Aware Scaling using Seam Carving method with different algorithms for energy mapping
Advanced Red Team Payload Obfuscator. A multi-layer evasion tool for PowerShell, Python, Bash, C#, and Go. Features Shannon Entropy analysis and real-time detection scoring.
Uniswap Transaction Analysis Repository: Layer-1 and Layer-2 Transaction Measures
Sequential pattern analysis through variable-order Markov chains. Built for detecting deviations in finite-alphabet sequences.
Passphrase generator
an esp32 based device for measuring/reading entropy levels and detecting anomalous readings.
Calculate the Shannon entropy of the provided file.
Network analysis of Twitter trends.
A lightweight, cross-platform CLI tool that scans your filesystem to detect exposed secrets, API keys, and tokens. Built with Go for maximum performance and zero dependencies.
Information-theoretic social neuroscience analyses, particularly for hyperscanning paradigms
Splicing Diversity Analysis for Transcriptome Data
Quantifying prompt quality using information theory: entropy and mutual information analysis of 1,800 LLM generations
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