javifalces's repositories
adv-financial-ml-marcos-exercises
Exercises of the book: 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]
ctc-executioner
Master Thesis: Limit order placement with Reinforcement Learning
EliteQuant_Python
Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
python-patterns
A collection of design patterns/idioms in Python
rl_markets
Market Making via Reinforcement Learning
async-google-pubsub-client
[SUNSET] Async Google Pubsub Client
darwinex_ticks
A simple Darwinex ticks data Python API.
Data-Science-Mindset
Resources for Data Science and ML
imagenet18
Code to reproduce "imagenet in 18 minutes" experiments
JyNI
Enables Jython to load native CPython extensions.
karoo_gp
A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
mql-zmq
ZMQ binding for the MQL language (both 32bit MT4 and 64bit MT5)
PonyGE2
PonyGE2: grammatical evolution and variants in Python
popcorn-android
Popcorn Time is a multi-platform, free software BitTorrent client that includes an integrated media player. Android ( Mobile / TV) a Butter-Project Fork
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
q-learning-for-cartpole
In this blog, I will introduce you to the topic of Reinforcement Learning. After this post, you will will be able to understand Q-learning and will be able to create an agent that is capable of learning to balance the pole and ultimately solving the problem.
Reinforcement_Learning_for_Stock_Prediction
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
robotrader_tensorflow
robotrader_tensorflow
sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Vega-Messaging
Low latency communication library on top of Aeron