Felix Weizman's repositories
appsyncmasterclass-backend
Backend for the AppSync Masterclass demo app
arcinvoice
Fullstack open source Invoicing application made with MongoDB, Express, React & Nodejs (MERN)
awesome-aws-appsync
Curated list of AWS AppSync Resources
BAI-BTRS-active-parsers
Library that parses this BAI2 banking file format that SVB uses
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
cowell_proj_4
Metis Project 4: Unsupervised Machine Learning and NLP (exploring Tweets about veganism)
CUTIE
CUTIE (TensorFlow implementation of Convolutional Universal Text Information Extrator)
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.
django-markdown-editor
Markdown Editor plugin for Django (great to use outside default django admin)
Expensify.cash
Expensify.cash is the next generation of Expensify: a reimagination of payments based atop a foundation of chat.
gatsby-starter-contentful-homepage
This repository was created by Gatsby Cloud
headless-recorder
Headless recorder is a Chrome extension that records your browser interactions and generates a Puppeteer or Playwright script.
InvoiceNet
Deep neural network to extract intelligent information from invoice documents.
kita-explorer
Kindertagesstätten (Kitas) Berlin
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
microservices-architectured-app
Event-driven microservices architectured e-commerce app created using Express, Typescript, Nats-Streaming and Next.js
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
serverless-galleria
Serverless batch photo manipulation and publishing
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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.
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.