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prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

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 ;)

punt_returns_using_the_math_to_find_the_path

Data and images for the NFL's Big Data Bowl 2022 Student Competition

pyspark-style-guide

This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

quickqanava

C++14 network/graph visualization library / Qt node editor.

react-leaflet-demo

Demo of a Leaflet map created with React

react-leaflet-demo-1

react-leaflet-editable-popup

A react-leaflet component which expands the functionality of a popup

resources

PyMC3 educational resources

rethinking

Examples from McElreath's Statistical Rethinking, First edition coded in Stan.

rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

rstudio-conf-2019

Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019

sattools

Satellite Tracking Toolkit

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

scrabble-gan

Adversarial Generation of Handwritten Text Images

sense2vec

🦆 Contextually-keyed word vectors

sgems

Mirror of "The Stanford Geostatistical Modeling Software (SGeMS)"

spacy-ner-annotator

Train Spacy ner with custom dataset

spatstat

Development version of 'spatstat' package ..............................

srpm-phq9-qa

Suicide Risk Prediction Model PHQ-9 Quality Assurance

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

stat_rethinking_2020

Statistical Rethinking Course Winter 2020/2021

stochasticreserver

Flexible Framework for Stochastic Reserving Models

storytelling

Storytelling with maps template

streamlit-nlg-gpt-2

Simple demonstration of using GPT-2 in Streamlit to generate text from a seed.

structuralcausalmodels.jl

Initial look at directed acyclic graph (DAG) based causal models in regression.

synthesizespeech

tawny-owl

Build OWL Ontologies in a Programmatic Environment

tdm-notebooks

Example notebooks and tutorials for JSTOR's text analysis project, Constellate.