GitHub topics: kolmogorov-complexity
0xnurl/mdlrnn-torch
Minimum Description Length Recurrent Neural Networks (MDLRNNs) in PyTorch
Language: Python - Size: 369 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 21 - Forks: 0

andandandand/OACC
Repository for the Online Algorithmic Complexity Calculator
Language: R - Size: 2.45 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 13

sztal/pybdm
Python implementation of block decomposition method for approximating algorithmic complexity
Language: Python - Size: 96.1 MB - Last synced at: 28 days ago - Pushed at: 10 months ago - Stars: 36 - Forks: 11

LexLoki/pybdm-lba Fork of sztal/pybdm
Python implementation of block decomposition method for approximating algorithmic complexity
Language: Jupyter Notebook - Size: 78.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

fedemengo/d2bist
A CLI utility to handle data as binary string
Language: Go - Size: 2.75 MB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

julienijs/Linguistic-complexity
Measuring linguistic complexity through information theory
Language: Python - Size: 5.31 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

ZJLAB-AMMI/VAE4OOD
Python code to implement an efficient approach to unsupervised OOD detection with VAE
Language: Python - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

matanabudy/mdl-hn
Minimum Description Length Hopfield Networks
Language: Python - Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

simonschoelly/InformationDistances.jl
A small Julia library for calculating the normalized compression distance.
Language: Julia - Size: 268 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

benrayfield/hyperquasicrystal
(TODO) actually callable javascript lambdas of infinitely threadable (potentially massively-multiplayer) godel-like-numbering-secure low latency neuralnet approximation of hypercomputation of the iota combinator sparse-emulating debugger breakpoints of itself, in javascript lambdas, such as naming every possible lambda by a 256 bit merkle id
Language: JavaScript - Size: 156 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 2

dirac292/DNA-Sequence-Compression-Analysis
DNA Sequencing Analysis using compression algorithms
Language: Python - Size: 1.66 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

taucompling/mdlrnn
Minimum Description Length Recurrent Neural Networks
Language: Python - Size: 408 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 0

andandandand/Network-Robustness-by-Kolmogorov-Complexity
Estimation of the robustness of networks to attacks directed using Kolmogorov complexity as estimated by the Block Decomposition Method.
Language: Mathematica - Size: 501 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 0

andandandand/ImageAnalysisWithAlgorithmicInformation
Language: Mathematica - Size: 1.85 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

algorithmicnaturelab/OACC Fork of andandandand/OACC
Repository for the Online Algorithmic Complexity Calculator
Language: R - Size: 1.83 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 21 - Forks: 4

0xpranjal/COVID-Genome-Computational-Analysis
Computational predictions of protein attributes associated with COVID-19 using Data Science techniques
Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 5

zhongyuchen/kolmogorov-complexity
Write the shortest possible programs to generate given strings
Language: C++ - Size: 4.51 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

To-jak/Impact-of-Context-for-Image-Recognition
In Kolmogorov's sense of complexity, conditional complexity allows to take some background knowledge into account for description complexity. Can this concept be applied to image recognition? I did a quick experiment to try to highlight this process in the context of image recognition.
Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

andandandand/MILS
Language: Mathematica - Size: 11.2 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
