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alaff

Solutions to various homework questions from Advanced LAFF, UTAustinX (Winter 2020) at edX

asdar-book.org

data and scripts for the ASDAR book

awesome-public-datasets

A topic-centric list of HQ open datasets in public domains. PR ☛☛☛

blog

contextily

Context geo-tiles in Python

covid-19-data

An ongoing repository of data on coronavirus cases and deaths in the U.S.

covid19-forecast-hub

Projections of COVID-19, in standardized format

covid19_projections

COVID-19 Projections Using Machine Learning

cs-4780-machine-learning

Assigments of CS4780 in Python

cs4780

finder

FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)

graph-theory

Python graph traversal algorithm implementation including BFS, DFS, Topological Sort, Dijkstra, Prim, Borůvka, Kruskal, A*, Bellman Ford, Bron Kerbosch

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hello-world

intro_to_stats_r

A series of tutorials for R (data included). Starts with an introduction to R and works all the way to spatial regressions.

libflame

High-performance object-based library for DLA computations

manim

Animation engine for explanatory math videos

mathematics-of-epidemics-on-networks

Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047 . Documentation for the software package is at https://epidemicsonnetworks.readthedocs.io/en/latest/

mgwr

Multiscale Geographically Weighted Regression (MGWR)

mit686x

Depository for MIT Python ML course 2020

mitx-sds-resources

Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science

mitx_6.86x

MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

ml-tutorial

Introduction to ML packages for the 6.86x course

notebooks

jupyter/sage/ipython notebooks

pdb-basics

Python Debugging with pdb

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch-tutorials

sensor-placement

MSc Thesis - Parallel Gaussian Processes for Optimal Sensor Placement

spatialplots

Local Moran's I Hot Spot Plot in R using localmoran() from library(spdep)