DennisPiskovatskov

DennisPiskovatskov

Geek Repo

Location:Stuttgart, Germany

Home Page:http://javaee.solutions

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DennisPiskovatskov's repositories

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

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chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

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chesslib

chess library for legal move generation, FEN/PGN parsing and more

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Cryptocoinopoly

The Crypto trading game.

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Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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ExtensiveFormGames

Java project for modeling two-player zero-sum extensive-form games and algorithms for computing Nash equilibria and related concepts.

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Fritzbox.sh

Shell script to control AVM FritzBox(tm) router, getting information, smarthome etc... Use it from Homematic, CCU, whatever!

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from_fourier_to_koopman

Linear and non-linear spectral forecasting algorithms

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Giraffe

experimental chess engine based on temporal-difference reinforcement learning

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hats

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

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HomeSystem

Control your HomeMatic(IP) devices with this Java based system

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lc0

The rewritten engine, originally for tensorflow. Now all other backends have been ported here.

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lczero-training

For code etc relating to the network training process.

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PGN

ANTLR Portable Game Notification (PGN) Parser. UNDER DEVELOPMENT!

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PGN-parser

A Portable Game Notation (PGN) ANTLR 4 grammar and parser.

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ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

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rtfparserkit

Master repository for RTF Parser Kit library

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siml

Machine Learning algorithms implemented from scratch

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stockpredictionai

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.

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super-animation-samples

A New Animation Solution based on SWF for Cocos2d Game Engine

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WPM-Professionelle-Java-Entwicklung

This page describes, how to get 1.0 in the lecture "WPM Professionale Java Entwicklung" (Albstadt-Sigmaringen University)

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