Yuwei Cheng's repositories
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
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tree.interpreter
Decision tree interpreter for randomForest/ranger as described in
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batch-active-preference-based-learning
Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot Learning (CoRL), Zurich, Switzerland, Oct. 2018.
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MXNetWorkshopHongKong
MXNet Workshop in Hong Kong 2018
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bitpredict
Machine learning for high frequency bitcoin price prediction
MIT000
NUS-Slides-Latex-Template
A latex template for the convenience of NUS students to prepare for their presentation slides.
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Chicago-Course-Work
Work for courses taken at University of Chicago
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