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gdax-python

The unofficial Python client for the GDAX API

gemini

Simple backtesting for sleepless cryptocurrency markets

good-morning

Simple Python module for downloading fundamental financial data from financials.morningstar.com.

graphical-lasso-in-finance

Implementations of the graphical lasso method to estimation of covariance matrices in finance.

henrycarstens-101-trading-ideas

A few samples from Henry Carsten's book '101 Trading Ideas'

hltv-scraper

A Python scraper designed to pull data from HLTV.org and tabulate it into a series of CSV files.

hpolib

HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt. This package is discontinued, please read the longer note in the info box below.

incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

ipython-notebooks

A collection of IPython notebooks covering various topics.

ipython_notebooks

Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

isolation

An adversarial search agent to play the game Isolation

jaif

just another investment fund

kaggle-tfi-revenue

R code and data for Tab Food Investments Kaggle Challenge

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

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.

kmeans-portfolio

A security screening technique with simple K-Means Clustering.

lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

leanreportcreator

Create beautiful HTML/PDF reports for sharing your LEAN backtest and live trading results.

libcryptomarket

Powerful cryptocurrency market analysis toolkit

lindquist_dynamic_correlation

Martin Lindquist's dynamic correlation toolboxes. Designed for fMRI analysis, useful for other applications too.

linearmodels

Linear models including instrumental variable estimators and panel data models

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm-oreilly

How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.

lua-rclient

LuaJIT Client for Rserve

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

machine-learning

machine-learning-1

Content for Udacity's Machine Learning curriculum

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-coursera

Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.