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Name: Adrian Gainza Huepp
Type: User
Bio: Science Computer programmer interested in trading forex, cryptocurrencies and stocks options. Deep Reinforcement Learning: DDPG, A2C, Q-Learning.
Name: Adrian Gainza Huepp
Type: User
Bio: Science Computer programmer interested in trading forex, cryptocurrencies and stocks options. Deep Reinforcement Learning: DDPG, A2C, Q-Learning.
Tutorials. Please star.
FinRL_Crypto: Cryptocurrency trading of FinRL
An open-source framework for reduction of overfitting of DRL agents in Finance
Cloud-native Financial Reinforcement Learning
Agence Android Mobile Test
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
Environment for reinforcement-learning algorithmic trading models
Deep Learning for humans
KuCoin article code
Solution to LeetCode problems in C++.
Multi-agent Reinforcement Learning for Liquidation Strategy Analysis. ICML 2019 AI in Finance.
A Practical Machine Learning Approach for Dynamic Stock Recommendation. IEEE TrustCom 2018.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
Angular Application for search products
OKEx API Algotrading101
Code used in the Pine Script Beginner's Guide (TradingView) on the AlgoTrading101 Blog
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
Collection of algorithm implementations from various sources plus own creations.
Pandas, numpy, scipy, sklearn, along with advanced techniques of their application.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A Reinforcement Learning based Stock Trader with multiple backends
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
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.