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awesome-functional-programming

Yet another resource for collecting articles, videos etc. regarding functional programming

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

ceact

Cost-Effectiveness Analysis for Clinical Trials

cnops2

cpi

CPI: Conditional Predictive Impact

deep-learning-books-1

Books for machine learning, deep learning, math, NLP, CV, RL, etc

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

distillml

An R package providing functions for interpreting and distilling machine learning models

flow

View and Browse Code Using Flow Diagrams

geospatial_viz_staging

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

hds_courses

healthdatasets

misc health related datasets

imputer

introduction_to_data_mining_r_examples

R Code to accompany the book Introduction to Data Mining by Tan, Steinbach and Kumar (Code by Michael Hahsler)

islr-answers

Solutions to exercises from Introduction to Statistical Learning (ISLR 7th Edition)

juliadatascience

Book on Julia for Data Science

latexcheatsheet

LaTeX cheatsheet

mcstatsim

mesocentre-access

misc

misscforest

Ensemble Conditional Trees algorithm for Missing Data Imputation

ml-imputation-metrics-comparative-study

ml-imputers-bc-simulation

mlj.jl

A Julia machine learning framework

mlstyle.jl

Julia functional programming infrastructures and metaprogramming facilities

multipletesting.jl

The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…

notable

The Markdown-based note-taking app that doesn't suck.

numbat

A statically typed programming language for scientific computations with first class support for physical dimensions and units

online-cv

A minimal Jekyll Theme to host your resume (CV)