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Name: Jorge Rivero
Type: User
Company: Quant AI Lab
Bio: I'm a mathematician. I have worked as Data Scientists on projects related to Time Series Analysis and Machine Learning Models.
Location: Madrid
Name: Jorge Rivero
Type: User
Company: Quant AI Lab
Bio: I'm a mathematician. I have worked as Data Scientists on projects related to Time Series Analysis and Machine Learning Models.
Location: Madrid
Detection of fake images.
Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"
Use RL agents to manage your portfolio
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Python app for black-litterman portfolio optimisation
Black-Litterman with MVO program for asset allocation (ETF)
Black-Litterman model portfolio optimizer
This is for download data from [bolsamadrid](https://www.bolsamadrid.es/)
A tool for portfolio managers: use the Black-Litterman model to view optimal portfolio allocations using several of the most popular optimization methods.
CNN for stock market prediction using raw data & candlestick graph.
An implementation of a convolutional network in Python using only numpy and comparing the results on MNIST with a similar torch model.
Prediction of covid-19 with Richards model
Survillance of Covid-19 on Cuba
Experimental crypto trading bot using robin-stock.. Such things are very risky. For educational purposes only. Write up at https://medium.com/swlh/a-full-crypto-trading-bot-in-python-aafba122bc4e
CustomerML is an open source customer science platform leveraging the power of Predictiveworks and fully integrated with Elasticsearch and Shopify. CustomerML starts with proven RFM analysis and combines the results with machine learning thereby providing a deep customer understanding.
A collection of traversal algorithms and function metrics used in Fitness Landscape Analysis
Hands-On Machine Learning with C++, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Help to install python from zero
Install setup of VIM into my system.
A tool for combining historical data with user-provided forecasts to produce Kelly optimal portfolio allocations
Using python and scikit-learn to make stock predictions
This is project to generate the market list based on a kitchen recipes list.
H2O.ai Machine Learning Interpretability Resources
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.