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cuda-cs344

My solutions to Udacity's Parallel Programming course (CS 344)

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

keras-gan

Keras implementations of Generative Adversarial Networks.

python_master_courses

人生苦短 我用Python

stock-price-prediction-using-gan

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorrt_pro

C++ library based on tensorrt integration

test