Piotr's repositories

AzureFunctionApp

AzureFunctionExample C#

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alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

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alpine-python

A small, more complete, Python Docker image based on Alpine Linux.

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anomaliesinoptions

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

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awesome-besu

Curating the best Besu plugins and resources

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besu-plugins

Hyperledger Besu plugins

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book-notes

Notes from books and other interesting things that I've read. Table of contents at the end 👇

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coding-interview-university

A complete computer science study plan to become a software engineer.

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ddd-dynamic

Domain Driven Design in Python, Ruby and other dynamic languages resources

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deep-learning-illustrated

Deep Learning Illustrated (2020)

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docker-alpine-python3

The smallest Docker image with Python 3.5 (~61MB)

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eattheblocks

Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers

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Issue-your-own-ERC20-token

Tutorial of how to issue your own Ethereum ERC20 Token!

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machine_learning_examples

A collection of machine learning examples and tutorials.

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Make_Money_with_Tensorflow_2.0

This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval

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not-so-smart-contracts

Examples of Solidity security issues

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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slic-starter

A complete, serverless starter project

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solidity-baby-steps

Contract examples for Ethereum

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spring-master-class

An updated introduction to the Spring Framework 5. Become an Expert understanding the core features of Spring In Depth. You would write Unit Tests, AOP, JDBC and JPA code during the course. Includes introductions to Spring Boot, JPA, Eclipse, Maven, JUnit and Mockito.

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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stockmarket-simulator

Multithreaded JavaFX application that simulates the behavior of stockmarkets, investors etc.

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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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tickgrinder

Low-latency algorithmic trading platform written in Rust

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