awfales's Stars
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
sktime/sktime
A unified framework for machine learning with time series
quantopian/pyfolio
Portfolio and risk analytics in Python
ranaroussi/quantstats
Portfolio analytics for quants, written in Python
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Power-Systems-Optimization-Course/power-systems-optimization
Power systems optimization course materials
pedrolarben/TimeSeriesForecasting-DeepLearning
An experiemtal review on deep learning architectures for time series forecasting
omartinsky/QuantAndFinancial
This repository contains supporting examples which are referenced from posts published on www.quantandfinancial.com
skasim/yield-curve
A Python/Jupyter notebook project to understand the Yield Curve and its potential for forecasting a recession
johnschwenck/ercot_scraper
A web scraper that extracts ERCOT grid and market information
AlexEmelianov/EURUSD-1h-model-with-binary-1h-CLOSE-preds
:chart_with_upwards_trend::chart_with_downwards_trend:This notebook trains models that predicts the bid price of EURUSD 1 hours. Will be compared two models: LightGBM and RNN keras/tensorflow made of LSTM layers. Used scikit-learn GridSearchCV with TimeSeriesSplit cross-validation scheme for estimate the generalization ability.
michaelpburt/atlas
gregoriustanleyy/MISO_DM
Purdue University Data Mine - Midcontinent Independent System Operator