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Name: alphaBenj
Type: User
Bio: New York, NY
Name: alphaBenj
Type: User
Bio: New York, NY
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
Samples code demonstrating how to use IbPy to extract information from Interactive Brokers API
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A repository for q/kdb+ programs.
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
Data and Code base for blog post.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Quantitative research and educational materials
RoughCut
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Example data capture system, based on random financial data
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.