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adv_fin_ml

Advances in Financial Machine Learning by Marcos Lopez De Prado

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

advances-in-financial-machine-learning

Notes on Advances in Financial Machine Learning

advances_in_fin_ml

afml_in_catalyst

Implementing features from "Advances in Financial Machine Learning" by Marcos López del Prado in a financial algorithm using Enigma Catalyst.

all-that-likelihood-with-pymc3

backtrader

Python Backtesting library for trading strategies

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesianrl

Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations

blog_posts

For all the files associated with my blog post

bokeh

Interactive Web Plotting for Python

catalyst

An Algorithmic Trading Library for Crypto-Assets in Python

datasets

Software Engineering Analytics research at University of Wollongong (SEA@UOW)

deep-trading

Algorithmic trading with deep learning experiments

financial-data-structures

Create structured financial data in the form of time, tick, volume, and dollar bars from unstructured tick data. From Marcos Lopez de Prado's Advances in Financial Machine Learning textbook.

fractional-differentiation-time-series

As described in Advances of Machine Learning by Marcos Prado

ganimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

geneticsharp

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

gpstocks

Using Genetic Programming for Securities Analysis

hands_on_ml

examples from the book hands_on_ml

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

home-assistant

:house_with_garden: Open source home automation that puts local control and privacy first

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

intro2stats

Introduction to Statistics using Python

intro_stat_modeling_2017

Introduction to Statistical Modeling with Python (PyCon 2017)

introduction_to_pymc3

linux-insides

A little bit about a linux kernel

machinelearningstocks

Using python and scikit-learn to make stock predictions