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aind2-cnn

AIND Term 2 -- Lesson on Convolutional Neural Networks

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

chart-doctor

Sample files to accompany the FT's Chart Doctor column

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

crab

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

csml_notes

UCL MSc Computational Statistics and Machine Learning Revision Notes

datasharing

The Leek group guide to data sharing

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-nano-foundation

Udacity's Deep Learning Nano Foundation program.

docstrap

A template for JSDoc3 based on Bootstrap and themed by Bootswatch

dog-project

example-d3-react

Example D3.js + React integration

fleep

File format determination library for Python

iexfinance

Python wrapper for the Investor's Exchange (IEX) Developer API (https://iextrading.com/developer/)

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

mbamaterials

Examples for Modern Business Analytics

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

pandas_exercises

Practice your pandas skills!

pix2pix

Image-to-image translation with conditional adversarial nets

project-template

A template for scikit-learn extensions

pyod

A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

python-data-science-and-machine-learning-bootcamp

python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

react-redux

Official React bindings for Redux

react-router

A complete routing library for React

reactjs-adminlte

ReactJS version of the original AdminLTE dashboard - https://github.com/almasaeed2010/AdminLTE

reveal.js

The HTML Presentation Framework

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.

suit

Style tools for UI components