ivanletteri Goto Github PK
Name: Ivan Letteri
Type: User
Company: AI/ML solution 4 Algorithmic Trading
Bio: Machine Learning for Algorithmic Trading
Location: University of L'Aquila
Name: Ivan Letteri
Type: User
Company: AI/ML solution 4 Algorithmic Trading
Bio: Machine Learning for Algorithmic Trading
Location: University of L'Aquila
Learn SDN with RYU Controller
An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain
A Course on Intermediate Level Linux Exploitation
Deep Learning and Logical Reasoning from Data and Knowledge
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
An End-to-end LSTM deep learning model to predict FX rate and then use it in an algorithmic trading bot
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
Machine Learning for Finance, published by Packt
This project analysed financial data and designed trading strategies by machine learning models.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Magic8bot is a cryptocurrency trading bot using Node.js and MongoDB.
Just a normal flask web app to understand win32api with code snippets and references.
Parallelized Mutual Information based Feature Selection module.
Example for a minimal Flask application offering a REST API
The simplest complex example that I can think of to show main Flask app concepts.
Emulator for Software-Defined Wireless Networks
A Rest API for Mininet
Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.
Visualizations for machine learning datasets
Self contained offline javacsript Monero wallet generator
Financial Markets Data Visualization using Matplotlib
NeuralProphet: A simple forecasting package
A neuro-symbolic deep learning framework based on Pytorch
Pytorch implementation of various neural network interpretability methods
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.