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2019-feature-selection

Research project

aima-julia

Julia implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

awesome-fsharp

A curated list of awesome F# frameworks, libraries, software and resources.

awesome-visualization-research

A list of recommended research papers and other readings on data visualization

cobrapy

courses

fast.ai Courses

courseworks

This repository contains programming assignments or codes written to complete various Massive Open Online Courses

cytoscape.js

An open-source JavaScript graph theory library for analysis and visualisation (compatible with CommonJS/Node.js, AMD/Require.js, jQuery 1.4+, Bower, npm, and plain JavaScript)

d3

A JavaScript visualization library for HTML and SVG.

dash-salesforce-crm

dashboards

Responsive dashboard templates for Bootstrap 📊✨

datastructureandalgorithmicthinkingwithpython

Data Structure And Algorithmic Thinking With Python

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

dimensionreduction

The repository has the codes to identify co-linear (linearly dependent columns in a data) using linear algebra techniques.

escher

(formely visbio) Visualizations for systems biology.

examples

Various examples for different articles

expdata

A light weight exploratory data analysis tool using data.table in R.

fama_industry

Convert Fama-French 49 Industry Classification text file into Tabular Format

fastsvdrevisions

R implementation of M Brand, Fast Online SVD Revisions for Lightweight Recommender Systems.

hero2vec

ML models to predict the outcome of an Overwatch game

impress.js

It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.

irlbpy

Truncated SVD by implicitly restarted Lanczos bidiagonalization for Python Numpy

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code

kvchannel

The source code for MCELL model.

lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

marker

🖊️ Dynamically Highlight Text in Shiny

modelborgifier

Comparing and merging metabolic models.

modern-optimization-with-r

code from the s/t book which goal is to gather in a single document the most relevant concepts related to modern optimization methods or metaheuristics (e.g. simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization), showing how such concepts and methods can be addressed using the open source R tool.

moe

A global, black box optimization engine for real world metric optimization.