ayarotsky

redis-shield

A loadable Redis module that implements the token bucket algorithm to do rate limiting as a native command

rack-shield

Rack middleware for blocking abusive requests

actions

Set of actions for implementing CI/CD with werf and GitHub Actions

artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

aws-ecs-tools

awscli-mfa

Utilities for easy management of AWS MFA and role sessions and virtual MFA devices

heroku-buildpack-poppler

Heroku buildpack for Poppler (heroku-16)

sidekiq-heroku-autoscale

Dynamically start, stop, and scale Sidekiq dynos on Heroku based on queued jobs.

bt

bt - flexible backtesting for Python

cnn

Using fastai and CNNs to predict stock prices

Company-Analysis-Model

Documentation behind the model used to analyse companies in Simply Wall St

darts

A python library for easy manipulation and forecasting of time series.

facial-ar-remote

Facial AR Remote is a tool that allows you to capture blendshape animations directly from your iPhone X into Unity 3d by use of an app on your phone.

facial-expression-recognition-using-cnn

Deep facial expressions recognition using Opencv and Tensorflow

ffn

ffn - a financial function library for Python

FlappyBird

A flappy bird clone for a speed-programming video. Made this in 72 minutes.

flog

mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

Node_Editor_Framework

A flexible and modular Node Editor Framework for creating node based displays and editors in Unity

pbp_cookiecutter

Cookiecutter template for data analysis

pyfinmod

Financial modeling with Python and Pandas

pystore

Fast data store for Pandas time-series data

PyTAAADL

Tactical Asset Allocation Advisor using Deep Learning

python-xbrl

xbrl parser written in Python :bulb:

rails-realworld-example-app

s3-site-auth

ScraXBRL

SEC Edgar Scraper and XBRL Parser/Renderer

seal

Slack bot that publishes a team's pull requests to their Slack channel

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.

vue3-realworld-example-app

Explore the charm of Vue composition API! Vite?