Jonathan Larkin

alphatools. Quantitative finance research tools in Python

pairs-trading-with-ML. Jupyter Notebook

stock-cluster-nlp. Jupyter Notebook

voila-homepage. A simple homepage for serving notebooks with voila.

lectures. Jupyter Notebook

robotic-cats. Jupyter Notebook

Kalman-and-Bayesian-Filters-in-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 filters, and more. All exercises include solutions.

privateGPT. Interact privately with your documents using the power of GPT, 100% privately, no data leaks

machine-learning-for-trading. Code for Machine Learning for Algorithmic Trading, 2nd edition.

nudged-risk-model. Jupyter Notebook

tsboost. Time Series Forecasting Framework

pyfolio. Portfolio and risk analytics in Python

zipline. Zipline, a Pythonic Algorithmic Trading Library

pymc3. Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pymc-resources. PyMC educational resources

mlcourse.ai. Open Machine Learning Course

stat_rethinking_2024. R

using-numba. Jupyter Notebook

bayesbeta. An enthusiastic followup of bayesalpha

misc_research. HTML

hedge_fund_evolution. Jupyter Notebook

aa228-final-project. Julia

stat_rethinking_2022. Statistical Rethinking course winter 2022

apptoolkit-java-protocol. Mobile Team repo

apptoolkit-desktop-example. Java

alpha-parser. Python

ohjh. ohjh - The OpenHumans JupyterHub deployment