SteveChow

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bootiful-microservices

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mssc-beer-order-service

MSSC Beer Order Service

Python-100-Days

Python - 100天从新手到大师

spring5-mongo-recipe-app

Recipe Application Using MongoDB

spring5-mysql-recipe-app

Spring 5 MySQL Recipe App

spring5-reactive-mongo-recipe-app

Spring 5 Reactive MongoDB Recipe App

spring5-recipe-app

spring5-recipe-app

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.

SteveChow/Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

SteveChow/bootiful-microservices

SteveChow/mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

SteveChow/mssc-beer-order-service

MSSC Beer Order Service

SteveChow/Python-100-Days

Python - 100天从新手到大师

SteveChow/spring5-mongo-recipe-app

Recipe Application Using MongoDB

SteveChow/spring5-mysql-recipe-app

Spring 5 MySQL Recipe App

SteveChow/spring5-reactive-mongo-recipe-app

Spring 5 Reactive MongoDB Recipe App

SteveChow/spring5-recipe-app

spring5-recipe-app

SteveChow/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.

SteveChow/super-mean-stack

An Angular + Node/Express + Webpack + MongoDB + SASS + Babel/ES6 + ui-router + Bootstrap starter kit

SteveChow/TensorFlow-Course

Simple and ready-to-use tutorials for TensorFlow