https://github.com/realamirhe/leaf-node

A leaf node for your machine learning journey, from scratch to practical applications...
https://github.com/realamirhe/leaf-node

algorithm auto-encoder classification cybernetics feature-extraction feedback-mechanism lda learning machine-learning machine-learning-journey numpy pca practice regression scikit-learn sklearn smlfdl

Last synced: 3 days ago
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A leaf node for your machine learning journey, from scratch to practical applications...

• Host: GitHub
• URL: https://github.com/realamirhe/leaf-node
• Owner: realamirhe
• License: mit
• Created: 2020-12-03T15:20:35.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-02-19T12:58:08.000Z (over 3 years ago)
• Last Synced: 2023-03-06T02:18:10.016Z (over 1 year ago)
• Topics: algorithm, auto-encoder, classification, cybernetics, feature-extraction, feedback-mechanism, lda, learning, machine-learning, machine-learning-journey, numpy, pca, practice, regression, scikit-learn, sklearn, smlfdl
• Language: Jupyter Notebook
• Homepage:
• Size: 1.28 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
# MLLN



Machine Learning Leaf Node


An optimal start node for beginning your machine learning journey

### 📁 algorithms

* [↖️](algorithms/KMeans.ipynb) KMeans

* [↖️](algorithms/KNN.ipynb) K-Nearest Neighbors(KNN)

* [↖️](algorithms/LDA.ipynb) Linear Discriminant Analysis(LDA)

* [↖️](algorithms/Logistic%20Regression.ipynb) Logistic Regression

* [↖️](algorithms/Naive%20Bayes.ipynb) Naïve Bayes

* [↖️](algorithms/PCA.ipynb) Principal Component Analysis(PCA)

* [↖️](algorithms/StochasticGradientDescent.ipynb) StochasticGradientDescent(SGD)

* [↖️](algorithms/perceptron.ipynb) Perceptron

* [↖️](algorithms/regression.ipynb) Regression

### 📁 applications

* [↖️](applications/Parkinson's%20Disease%20classification.ipynb) Parkinson's Disease classification 📊[data][app_parkinson_data] - 📄[article][app_parkinson_article]

* [↖️](applications/face%20reconstruction%20with%20PCA.ipynb) Face Reconstruction with PCA

## 🆕 🔥 [SMLFDL](applications/SMLFDL.py)  - 📄[article][SMLFDL_article]

SVMs multi-class loss feedback based discriminative dictionary learning for image classification  

> SMLFDL integrates dictionary learning and support vector machines training into a unified learning

framework by looping the designed multi-class loss term, which

is inspired by the feedback mechanism in cybernetics.

analysis has been done on scene-15 dataset.   

Feature vectors has been prepared by four-level `spatial pyramid`, dense `DAISY` feature description followed by PCA.  

As article proposed SMLFDL are faster in predictions and converge in lower epochs.  

code for features will be added soon.

[app_parkinson_data]: https://archive.ics.uci.edu/ml/datasets/Parkinson%27s+Disease+Classification#

[app_parkinson_article]: https://linkinghub.elsevier.com/retrieve/pii/S1568494618305799

[UDA_data]: http://mason.gmu.edu/~lzhao9/materials/data/UAV/data/pub_dataset1.mat

[UDA_article]: https://dl.acm.org/doi/10.1145/3219819.3220117

[SMLFDL_article]: https://www.sciencedirect.com/science/article/abs/pii/S0031320320304933