Starred repositories
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment that simulates stock prices.
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
This repository contains best profile readme's for your reference.
Python wrapper for TA-Lib (http://ta-lib.org/).
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
Over 10 years of hourly energy consumption data from PJM in Megawatts
soumilshah1995 / Data-Analysis-Over-10-years-of-hourly-energy-consumption-data-from-PJM-in-Megawatts
Data Analysis Over 10 years of hourly energy consumption data from PJM in Megawatts python
Repo for the Deep Reinforcement Learning Nanodegree program
Experiments in using deep learning to model competition in liberalised electricity markets.
OWL: A web framework for structured, dynamic and maintainable applications
Companion webpage to the book "Mathematics For Machine Learning"
An SDN application that gives its user the ability to control flows in an OpenFlow network without coding.
A reimagining of Ryu's SimpleSwitch example L2 controller app inspired by Faucet
Ryu component-based software defined networking framework
A powerful and useful hacker dictionary builder for a brute-force attack
🔓 A dynamic dictionary merger for successful dictionary based attacks.