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The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Code for Machine Learning for Algorithmic Trading, 2nd edition.
DQN stock trading pytorch implementation
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. ai4climatecoop.org
playing idealized trading games with deep reinforcement learning
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
The purpose of our study is to utilize data-driven methods in analyzing the crucial factors contributing towards the success of restaurants and thus provide data-science solutions to restaurant own…
The application will contain the following elements: a) an Undo button to undo the last shape drawn. b) a Clear button to clear all shapes from the drawing. c) a combo box for selecting the shape t…
In this project I wrote a database management system with C language, which can operate the commands of SQL and guarantee proper output at the same time.
This application have a very nice GUI interface and will be a Derby database driven application.
This tool provides data summaries and plots for sample data sets and for data that can be uploaded by by users.
This app represents an interactive supplementary module embedded in statistics lessons with two features. The first feature visualizes how the variations in confidence levels and sample size affect…
Factors-affecting-inference-for-means