An AI for the game hangman which uses information theoretical metrics to determine the optimal letters to guess.
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Updated
Apr 19, 2017 - Python
An AI for the game hangman which uses information theoretical metrics to determine the optimal letters to guess.
Laboratory exercise for Information Theory @ FER
a python project on information theory and supervised learning
Huffman's optimal prefix code for lossless compression.
Additional exercises from the course Informatie-overdracht en -verwerking (2nd year Computer Science @ KU Leuven Kulak) and their full solutions. Everything was typed out in LaTeX and the end solutions are correct.
Implementation of Shannon-Fano coding with Galois Field error correction, featuring interactive visualizations and demonstrations.
Theorems discovered by Ravin Kumar
This repo contains my applied & computational mathematics work.
Calculating information theory quantities since 2017
Replicated “Understanding Individual Neuron Importance Using Information Theory” paper. Information Theory and Learning Course Project.
DEFLATE Compression/Decompression Algorithm Implementation
Information-theoretic social neuroscience analyses, particularly for hyperscanning paradigms
Satelite-Forward-Error-Correction: 'SFEC'
A non-negative Partial Information Decomposition
A collection of courses at Master program at Deep Learning department in ITMO University
Independent report on randomness in quantum cryptography, Bell tests, and risks of pseudorandomness.
Adversarial Examples as an Input-Fault Tolerance Problem
Boggle-like game with extensions to 3D surfaces
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