Piotr's repositories
alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
awesome-besu
Curating the best Besu plugins and resources
backstage-1
Backstage is an open platform for building developer portals
besu-plugins
Hyperledger Besu plugins
book-notes
Notes from books and other interesting things that I've read. Table of contents at the end 👇
coding-interview-university
A complete computer science study plan to become a software engineer.
ddd-dynamic
Domain Driven Design in Python, Ruby and other dynamic languages resources
deep-learning-illustrated
Deep Learning Illustrated (2020)
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
eattheblocks
Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers
Issue-your-own-ERC20-token
Tutorial of how to issue your own Ethereum ERC20 Token!
machine_learning_examples
A collection of machine learning examples and tutorials.
Make_Money_with_Tensorflow_2.0
This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval
not-so-smart-contracts
Examples of Solidity security issues
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 ;)
rl-tutorial-jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
slic-starter
A complete, serverless starter project
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.
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
stockmarket-simulator
Multithreaded JavaFX application that simulates the behavior of stockmarkets, investors etc.
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.
tickgrinder
Low-latency algorithmic trading platform written in Rust