earmingol/Personal-Collection

Learning how to implement different algorithms

Personal-Collection

Codes to implement and test different algorithms

Installation of Requirements

To install a conda environment, run:

conda env create -n EnvName --file Conda-Environments/EnvName.yml

To export a new conda environment, run:

conda activate EnvName
conda env export --no-builds | grep -v "prefix" > Conda-Environments/EnvName.yml
conda deactivate

Table of Contents

• Search Algorithms:

  • Breadth First Search
  • Depth First Search
  • Optimization problems:
    • Genetic Algorithm for finding optimal hyper-parameters of an ANN
    • Integer Linear Programming for finding solution of an optimization of metabolic fluxes
    • Backtracking for optimizing the example of "Wheels Companies Problem"

• Plots:

  • Jupyter Notebook with examples of plots made with Plotly

• Statistical and Machine Learning Analyses:

  • Principal Component Analysis
  • Enrichment Analysis
  • More, coming soon