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alexanderpokorny.github.io

POKORNY

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-interpretable-machine-learning

clifford

Numerical geometric algebra module for python

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

datascience

My Data Science Repo

deep-learning-with-deeplearning.ai

Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng

devonthink-3-backlinks

Scripts to add backlinks to markdown files in DEVONthink 3

firecms

Open Source CMS with Firebase SDK and Angular

galgebra

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

lime

Lime: Explaining the predictions of any machine learning classifier

machine-learning-with-python

Python code for common Machine Learning Algorithms

mathjax-docs

MathJax documentation. Beautiful math in all browsers. Beautifully documented.

microsoft-tdsp

Repository for Microsoft Team Data Science Process containing documents and scripts

nauticfamily.github.io

Nautic Family Website

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

obsidian-tagfolder

outline

Logseq Repository

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

pyspark-and-mllib

Getting start with PySpark and MLlib

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

shap

A unified approach to explain the output of any machine learning model.

statistics-with-r-specialization

Project work for Coursera Statistics with R Specialization offered by Duke University

tensorflow

An Open Source Machine Learning Framework for Everyone

test

This is a codeless programming project created by CrossUI GitHub

xiao-zmk-skretch