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Stanford University
- http://www.mikehwu.com/
Popular repositories
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A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
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PyTorch implementation for "Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference" (https://arxiv.org/abs/1809.01357).
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PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).
Python 5
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Project for a Machine Learning Class at Oxford. Uses CUSUM and SOM (Self Organizing Map) to predict "good stocks" based on previous NASDAQ history.