dennispiskovatskov Goto Github PK

anomaliesinoptions

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

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

chesslib

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

cryptocoinopoly

The Crypto trading game.

deep-reinforcement-learning-with-pytorch

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

extensiveformgames

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

fritzbox.sh

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

from_fourier_to_koopman

Linear and non-linear spectral forecasting algorithms

giraffe

experimental chess engine based on temporal-difference reinforcement learning

hats

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

homesystem

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

lc0

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

lczero-training

For code etc relating to the network training process.

pgn

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

pgn-parser

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

predictions

ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

rtfparserkit

Master repository for RTF Parser Kit library

siml

Machine Learning algorithms implemented from scratch

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.

super-animation-samples

A New Animation Solution based on SWF for Cocos2d Game Engine

wpm-professionelle-java-entwicklung

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