Pinned Repositories
alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
alpine-python
A small, more complete, Python Docker image based on Alpine Linux.
anomaliesinoptions
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
ASPNETStarterSiteTemplate
awesome-besu
Curating the best Besu plugins and resources
AzureFunctionApp
AzureFunctionExample C#
credit_risk_scoring
Credit risk scoring and rating
pete21's Repositories
pete21/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
pete21/awesome-besu
Curating the best Besu plugins and resources
pete21/backstage
Backstage test files
pete21/backstage-1
Backstage is an open platform for building developer portals
pete21/besu-plugins
Hyperledger Besu plugins
pete21/book-notes
Notes from books and other interesting things that I've read. Table of contents at the end 👇
pete21/coding-interview-university
A complete computer science study plan to become a software engineer.
pete21/ddd-dynamic
Domain Driven Design in Python, Ruby and other dynamic languages resources
pete21/deep-learning-illustrated
Deep Learning Illustrated (2020)
pete21/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
pete21/eattheblocks
Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers
pete21/Issue-your-own-ERC20-token
Tutorial of how to issue your own Ethereum ERC20 Token!
pete21/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python
pete21/machine_learning_examples
A collection of machine learning examples and tutorials.
pete21/Make_Money_with_Tensorflow_2.0
This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval
pete21/meetup9
pete21/not-so-smart-contracts
Examples of Solidity security issues
pete21/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 ;)
pete21/rental-application
pete21/rl-tutorial-jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
pete21/slic-starter
A complete, serverless starter project
pete21/Spring-3-spring-security-6-Jwt-security-Authentication-authorization
pete21/spring-cloud-training
pete21/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.
pete21/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
pete21/stockmarket-simulator
Multithreaded JavaFX application that simulates the behavior of stockmarkets, investors etc.
pete21/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.
pete21/thymeleaf1
pete21/tickgrinder
Low-latency algorithmic trading platform written in Rust
pete21/websocket-notification-sender