Pinned Repositories
theMLtrader's Repositories
theMLtrader/data-science-seminar
Topics in Data Science
theMLtrader/greta
simple and scalable statistical modelling in R
theMLtrader/Adv_Fin_ML
Advances in Financial Machine Learning by Marcos Lopez De Prado
theMLtrader/r-best-practices
Some things that are useful for my R workflow
theMLtrader/flint
A Time Series Library for Apache Spark
theMLtrader/stancon2018
The OpenCL methods to be presented at stancon 2018
theMLtrader/stancon2018helsinki_intro
StanCon2018 Helsinki Tutorial
theMLtrader/ctc-executioner
Master Thesis: Limit order placement with Reinforcement Learning
theMLtrader/backtrader
Python Backtesting library for trading strategies
theMLtrader/WhileMyMCMCGentlySamples
my blog
theMLtrader/bayes-vis-paper
Paper: "Visualization in Bayesian workflow"
theMLtrader/PDSwR2
Code, Data, and Examples for Practical Data Science with R 2nd edition (Nina Zumel and John Mount)
theMLtrader/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
theMLtrader/Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
theMLtrader/inverse_rl
theMLtrader/papers-rl
theMLtrader/rfortraders
Quantitative Trading with R
theMLtrader/stancasestudy_losscurves
This repository holds the code and stan files for the creation of an example Stan case study on modelling loss curves in Insurance.
theMLtrader/stancon2018_intro
Materials for StanCon 2018 intro class
theMLtrader/libtrading
Libtrading, an ultra low-latency trading connectivity library for C and C++.
theMLtrader/StockRecommendSystem
An intelligent recommender system for stock analyzing, predicting and trading
theMLtrader/statistical-rethinking
Solutions for the practice problems
theMLtrader/ThinkBayes
Code repository for Think Bayes.
theMLtrader/IKTrading
Ilya Kipnis's miscellaneous quantstrat extensions, indicators, and order-sizing functions.
theMLtrader/AlphaPy
Machine Learning Pipeline for Python
theMLtrader/paper_summaries
theMLtrader/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
theMLtrader/Seeing-Theory
Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University's Royce Fellowship Program and National Science Foundation group STATS4STEM. The goal of the project is to make statistics more accessible to a wider range of students through interactive visualizations.
theMLtrader/TensorFlow-Tutorials-for-Time-Series
TensorFlow Tutorial for Time Series Prediction
theMLtrader/deepwater
Deep Learning in H2O using Native GPU Backends