Istvan Veber (sinusgamma)

sinusgamma

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Location:Budapest

Home Page:https://www.linkedin.com/in/istvanveber/

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Istvan Veber's repositories

probabilistic_wavenet_fx

Probabilistic and Directional Relu Wavenet with forex and economic news data

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multimodal_network

Mixture Density Network with Tensorflow Probability. Demonstrate the usefulness of multi-modal distribution outputs for neural networks.

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Forex-News-Trader-Dukascopy-API

Forex news trading app built with java and Dukascopy API. Can open multiple orders and manage them during the news event. Includes strategy tester.

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Deep-learning-air-pollution-forecaster

Deep learning air-pollution forecaster with Pytorch

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bars_with_deep_learning

Ideas of sampling bars for neural network models

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FOREX-strategy-parameter-selection

FOREX strategy parameter selection. Building probability density approximation with Random Forest.

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FOREX-HF-newstime-analysis

Excel VBA macros for forex analysis during news events.

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MineSweeper-Relax-Android

Nice minesweeper made with C# / Unity

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multitarget_training

Multi step forecast models can be beneficial even if we want only a one step forecaster - Tensorflow.

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ai-for-trading

code repository for Udacity nanodegree Artificial Intelligence for Trading

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artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

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Data-Analyst-NanoDegree

Data Analyst NanoDegree Projects - Udacity

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Deep-Learning-Nanodegree

Udacity Deep Learning Nanodegree Projects - Pytorch

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deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

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DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

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dl_book

legend

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DRL-Banana-Navigation

Deep Reinforcement Learning AI - collecting yellow bananas

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DRL-Continous-Control

Deep Reinforcement Learning AI - multiple robot arms

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DRL_Tennis_AI

Deep Reinforcement Learning Tennis AI in Unity environment

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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keras-idiomatic-programmer

Handbooks and Code Samples for Software Engineers wanting to learn the Keras Machine Learning framework

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math_string_calculator

math_string_calculator

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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simple_data_application

Simple data applications with python using Jupyter Notebooks

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stock2vec

📈 Stock embeddings based on PE context

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