felix-weizman-deel Goto Github PK

microservices-architectured-app

Event-driven microservices architectured e-commerce app created using Express, Typescript, Nats-Streaming and Next.js

panels

Expanding/Collapsing a panel with animations in React Native

pdf-gcv-ocr

Tool to OCR PDFs using Google Cloud Vision

personal-site

My personal website - built with React, React-Router, Express, and Webpack.

python-ai-trading-system

Code for How To Create A Fully Automated AI Based Trading System With Python

python-lambda

A toolkit for developing and deploying serverless Python code in AWS Lambda

qtpylib

QTPyLib, Pythonic Algorithmic Trading

react-hooks-global-state

Simple global state for React with Hooks API

react-native-bar-collapsible

react-native-form-generator

Generate forms with native look and feel in a breeze

react-native-local-auth

React Native authentication with the native Touch ID popup.

react-native-material-switch

react-native-settings-list

A clean and highly customizable React Native implementation of a list of settings for a settings page.

react-native-webpack-starter-kit

:herb: Build your React Native app with Webpack and Babel

react-redux-starter-kit

Get started with React, Redux, and React-Router!

react-starter-kit

React Starter Kit — isomorphic web app boilerplate (Node.js, Express, GraphQL, React.js, Babel 6, PostCSS, Webpack, Browsersync)

schema-stitching-examples

serverless-galleria

Serverless batch photo manipulation and publishing

stack-on-a-budget

A collection of services with great free tiers for developers on a budget

stock-prediction-models

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

stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

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.

tablenet

Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"

terraform-aws-ecs-web-app

Terraform module that implements a web app on ECS and supports autoscaling, CI/CD, monitoring, ALB integration, and much more.

trump2cash

A stock trading bot powered by Trump tweets

zappa

Serverless Python