Mu Wang's repositories

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

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AIOMFAC

AIOMFAC-web model code

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conversationai-models

A repository to house model building experiments and tools that are part of the Conversation AI effort.

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dc.js

Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js

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mordred

a molecular descriptor calculator

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python-epo-ops-client

Python Client for the European Patent Office's Open Patent Services API

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seasd

Spectral Ewald Accelerated Stokesian Dynamics

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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.

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