Sean Reed's repositories
An-Introduction-to-Bayesian-Inference-in-PyStan
Code for blog post on Bayesian inference in PyStan
autoseg
from paper https://arxiv.org/pdf/2201.09579.pdf
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
Bayesian_Analysis_In_Python
Bayesian Analysis with Python (Second Edition)
bhm-at-scale
🪜 Bayesian Hierarchical Models at Scale
ckad-crash-course
In-depth and hands-on practice for acing the exam.
condi-recur
Repository with the code used for the paper "Bayesian inference on the number of recurrent events: A joint model of recurrence and survival" by Willem van den Boom, Maria De Iorio and Marta Tallarita
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
deduplication-slides
"1 + 1 = 1 or Record Deduplication with Python" Jupyter Notebook
Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
jod35-Introduction-to-SQLAlchemy
This is code I wrote in a video where I was teaching SQLAlchemy
Mastering-Big-Data-Analytics-with-PySpark
Mastering Big Data Analytics with PySpark, Published by Packt
probai-2021
Materials of the Nordic Probabilistic AI School 2021.
pytorchTutorial
PyTorch Tutorials from my YouTube channel
RAOS-Examples
Regression and other stories R examples
Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
tsa4-shumway-stoffer-4ed
R code for Time Series Analysis and Its Applications, Ed 4
xgboost-learning
For learning stuff & for experimentation