rsethur Goto Github PK

2015

Public material for CS109

2015lab1

2015lab10

2015lab11

Overview of a project: Food Inspection Forecasting

2015lab3

2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

2015lab5

Lab 5, the first on Machine Learning!

2015lab6

2015lab7

Decison Trees, Random Forrests, Ensemble Methods

2015lab8

AWS, Vagrant, and Spark

2015lab9

anatomyofmatplotlib

Anatomy of Matplotlib Tutorial originally developed for SciPy 2013

azureml

Azure Machine Learning Deepdive Workshop

bypeternorvig

Peter Norvig's notebooks from http://norvig.com/ipython/

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

contososhopmanager

A workshop to build an AI-infused system to be used by Store Managers/Auditor to check stocking compliance of shelves

cs109-gdelt

Exploratory analysis of GDELT dataset

dmnplustf

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

geopol

Geopolitical Data Analysis based on GDELT dataset

gpt2

ipython-notebooks

A collection of IPython notebooks covering various topics.

kdsf-2019

Kaggle Days San Francisco 2019

machine_learning

Python coded examples and documentation of machine learning algorithms.

mlops

Modular and minimalistic MLOps recipes

musicmood

A machine learning approach to classify songs by mood.

muzero

A simple implementation of MuZero algorithm for connect4 game

muzero-general

A clean implementation of MuZero. Easily adaptable for new games and reinforcement learning environnements.

notebooks

ipython notebooks demonstrating PySAL functionality

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 ;)