Stars
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.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Automatic extraction of relevant features from time series:
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Portfolio and risk analytics in Python
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Useful functions, tutorials, and other Python-related things
Jupyter notebooks from the scikit-learn video series
Notebooks for "Python for Signal Processing" book
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SP…
TensorFlow Tutorial for Time Series Prediction
Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
Jupyter notebooks on time series econometrics topics.
General Assembly's Data Science course in Washington, DC
Jupyter notebooks contributed by QuantEcon developers, users and the community
Code and notebooks for Econometric Theory
A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/
a nose plugin for finding and running IPython notebooks as nose tests
Chess :: Maxims and Tools. Open-source insights shared via quotes and software.
A moment-free estimator of the Sharpe (signal-to-noise) ratio.
Algorithmic study of random systems. / Keywords: probability stochastic process ANU quantum random number generator Gaussian statistics