Mu Wang's repositories
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
AIOMFAC
AIOMFAC-web model code
conversationai-models
A repository to house model building experiments and tools that are part of the Conversation AI effort.
dc.js
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
mordred
a molecular descriptor calculator
python-epo-ops-client
Python Client for the European Patent Office's Open Patent Services API
seasd
Spectral Ewald Accelerated Stokesian Dynamics
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.