enriquecorimayo Goto Github PK
Name: Enrique
Type: User
Bio: Data Science and Quant Finance.
Name: Enrique
Type: User
Bio: Data Science and Quant Finance.
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Curso de Aprendizaje Reforzado - Maestría de Data Mining - DC - FCEyN
Create & Plot ETI and FX Volatility Surfaces, Smile Curves, Term Structures, Forward Curves and more using Instrument Pricing Analytics Data and the Refinitiv Data Platform Library
Here you will find materials for the course of Computational Finance
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
Recopilación de ejercicios para cursos de Data Science
Convex optimization over risk-neutral probabilities.
Achieve your marketing goals with the data analytics power of Python
Datacamp competition
Hedging unsing Deep Reinforcement Learning and Deep Learning
Implementation of the vanilla Deep Hedging engine
Neural network local volatility with dupire formula
Copilation of Python Programming Codes
Interactive reports to analyze machine learning models during validation or production monitoring.
Collection of notebooks about quantitative finance, with interactive python code.
Folder / directory structure options and naming conventions for software projects
A robot powered training repository :robot:
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Final project of Topics in Quantitative Finance Summer 2020 in National School of Development, Peking University
Modulo Introduccion al Trading Algoritmico del curso UCEMA-QUANt 2020
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
A model free Monte Carlo approach to price and hedge American options equiped with Heston model, OHMC, and LSM
A Multi-agent reinforcement-learning simulator framework.
Vanna-volga pricer for fx options
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.