TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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 ;)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Automatic extraction of relevant features from time series:

Python training for business analysts and traders

Portfolio and risk analytics in Python

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Performance analysis of predictive (alpha) stock factors

Quantitative research and educational materials

A collection of Jupyter notebooks showing how to use the Qiskit SDK

Dask tutorial

Tutorials and training material for the H2O Machine Learning Platform

Distributed deep learning on Hadoop and Spark clusters.

Solutions for projects.

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Poloniex bundle for zipline

Jupyter (IPython) notebooks for exploring mixture models