AntoZamm's repositories
1week4
Containing the code of my posts on my website https://www.1week4.com
Backtrader-Guide-AlgoTrading101
These are the code for the article "Backtrader for Backtesting (Python) – A Complete Guide" on AlgoTrading101's Blog. Article and code are written by Jignesh Davda.
Deep-Tutorials-for-PyTorch
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
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.
modernbayesianworkflow
An example of Modern Bayesian Workflow
probabilistic-programming
Experimenting with and teaching probabilistic programming
PyMC3_EUSS
Course in Probabilistic Programming in Python for the 2018 EU Summer School
rasa
sample code to deploy to heroku
rasa-demo-pydata18
Demo application for the PyData Conference in Amsterdam 2018
resources
PyMC3 educational resources
spark-examples
Spark 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
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
zeppelin-notebooks
Gallery of Apache Zeppelin notebooks