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usnistgov / pyMCR

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On README.rst and Demo.ipynb

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roentgenium
roentgenium commented Apr 22, 2018

To easily install pyMCR into non-ascii environment (e.g. Windows 10 in Japanese), it would be nice to replace the non-breaking hyphen (U+2011) in line 168 of README.rst into more common hyphen-minus (U+002D) to avoid UnicodeDecordError.

On Demo.ipynb, I guess several mcrals._c_mrd should be mcrals._c_mrd[-1] .

Anyway, this code is what I look for. Thank you so much to share your code!

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good first issue help wanted

CarsonScott / HSOM

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Hierarchical self-organizing maps for unsupervised pattern recognition

classifier machine-learning deep-neural-networks ai deep-learning neural-network machine-learning-algorithms ml artificial-intelligence artificial classification unsupervised-learning artificial-neural-network self-organizing-map self-organization artificial-intelligence-algorithms multiclass-classification unsupervised-machine-learning unsupervised-clustering classifier-training
  • Updated Dec 20, 2019
  • Python
Writing-Styles-Classification-Using-Stylometric-Analysis

Hassaan-Elahi / Writing-Styles-Classification-Using-Stylometric-Analysis

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✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

natural-language-processing artificial-intelligence principal-component-analysis authorship-attribution nlp-machine-learning clustering-algorithm plagiarism-detection unsupervised-machine-learning k-means-clustering lexical-features readability-scores vocabulary-richness writing-styles-detection intrinsic-plagiarism-detection stylometric-features writing-styles-extraction clustered-chunks-of-text authorship-analysis self-archive-research stylometric-techniques
  • Updated Sep 25, 2020
  • Python
NMFADMM

benedekrozemberczki / NMFADMM

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A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

optimization word2vec deepwalk matrix-factorization feature-extraction pca topic-modeling factorization lda unsupervised-learning admm sparse-matrix principal-component-analysis embedding nmf principal-components node2vec unsupervised-machine-learning word-embedding beta-divergence
  • Updated Sep 24, 2020
  • Python

yaricom / goNEAT_NS

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This project provides GOLang implementation of Neuro-Evolution of Augmented Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima

golang neat neuroevolution reinforcement-learning-algorithms artificial-neural-networks unsupervised-learning unsupervised-learning-algorithms augmenting-topologies unsupervised-machine-learning novelty-search explainable-artificial-intelligence explainable-ai modular-ai
  • Updated Jul 30, 2019
  • Go

sharmapratik88 / AIML-Projects

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Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

nlp data-science machine-learning statistics computer-vision random-forest data-visualization recommendation-system logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier knearest-neighbor-algorithm oversampling supervised-machine-learning unsupervised-machine-learning catboost ensemble-machine-learning machinelearningprojects datascienceproject
  • Updated Jun 24, 2020
  • Jupyter Notebook

sumanth-bmsce / Unsupervised_Extreme_Learning_Machine

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