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financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

financial_mathematics

The objective of this repository is to model the underlying principles of Financial Mathematic. It is largely based on the course SF2701 course at KTH.

football-tda

The shape of football games.

gdrl

Grokking Deep Reinforcement Learning

google-research

Google Research

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

gym-cryptotrading

OpenAI Gym Environment API based Bitcoin trading environment

gym-trading

Environment for reinforcement-learning algorithmic trading models

hackathon2020

CDL Quantum Hackathon 2020

impliedvol

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

lsmontecarlo

mlfactor.github.io

Website dedicated to a book on machine learning for factor investing

moldqn-pytorch

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

multilink-communities-of-multiplex-networks

multiplex

Analysis of the multiplex dependency structure of S&P500 stocks

openmodelica-microgrid-gym

OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids

pair-trading-reinforcement-learning

An Structural Application of Reinforcement Learning in Pair Trading

param-estimation-sir

Example R, Python, and Matlab code for ML estimation with an SIR model, as well as for examining identifiability and uncertainty using the Fisher information matrix and profile likelihoods.

phets

persistent homology on embedded time series

py3plex

Py3plex - A multilayer complex network visualization and analysis library in python3

pytorch-deep-learning

Deep Learning (with PyTorch)

quantum

Investigation Quantum Computing

quantum_annealing

reinvent

Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning

release

Deep Reinforcement Learning for de-novo Drug Design

rnnwavefunctions

A new wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations

sandbox-portfolio-optimization-cvxpy

CVXPY Portfolio Optimization Sample

stock-market-crashes

How to detect stock market crashes with topology.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations