SWE@Uber | Risk Applied Machine Learning
Interests: distributed data-intensive systems, natural language processing, information retrieval
- San Francisco
Popular repositories Loading
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language-style-transfer
language-style-transfer PublicReimplementation of NLP Style Transfer from Non-parallel Text with Adversarial Alignment (https://arxiv.org/abs/1705.09655)
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capacity-of-metric-learners
capacity-of-metric-learners PublicUnderstanding Memory-Equivalent Capacity of Metric Learners. CS294-82 Final Project (Experimental Design in Machine Learning).
Python
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jpark621.github.io
jpark621.github.io PublicForked from b2a3e8/jekyll-theme-console
Blog for resume and thoughts
CSS
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