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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
Repo for the Deep Reinforcement Learning Nanodegree program
A portfolio optimization framework leveraging Deep Reinforcement Learning (DRL)
Immersion of the world of Finance through Python
MXNet implementation of Graph Convolutional Neural Networks
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Model based reinforcement learning experiments
Used python to perform Monte Carlo simulation on stock data to predict movement in the stock
MuZero
MXNet Workshop in Hong Kong 2018
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A full course with Python on financial risk and return. Includes video content in 8 lessons with JuPyter Notebooks.
Reinforcement learning tutorials
Trying to create Reinforcement Learning powered Bitcoin trading bot
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stock price trend analysis using Fourier transform
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.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Trading Environment(OpenAI Gym) + PPO(TensorForce)
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.