roypj Goto Github PK

jsconf2013-data-structures

jsconf2014

Curriculum for the 2014 JSConf training track

keyboard_shortcuts

These are some of my favorite keyboard shorcuts

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.

machinejs

Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

missing-semester

The Missing Semester of Your CS Education 📚

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-papers-explained

Explanation to key concepts in ML

ml-study-plan

The Ultimate FREE Machine Learning Study Plan

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mlai

movielens

Proving or disproving a simple hypothesis from movielens dataset

nodejs-getting-started

A tutorial for creating a complete application using Node.js on Google Cloud Platform

pai-aws

chapter 5 aws chapter for pragmatic ai. Creates an "real world" Data Engineering API using Flask,Click, Pandas and Swagger docs

pandas-exercises

Walkthrough exercises from PandasTutorial by Wes McKinney.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pyds

repo with my solutions to interactivepython.org

pyodide

The Python scientific stack, compiled to WebAssembly

python

All Algorithms implemented in Python

python-docs-samples

Code samples used on cloud.google.com

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

quepy

A python framework to transform natural language questions to queries in a database query language.

recommenders

Best Practices on Recommendation Systems

scala

The Scala programming language

showcase-experiments

sparkml

spotify_wrapped_2.0

Some additional analysis on my spotify streams

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison