Name: Haoxiang (Frank) Wang
Type: User
Company: London School of Economics, Department of Mathematics
Bio: ORer, PhD Candidate in CS at KCL
Location: London
Blog: https://www.linkedin.com/in/haoxiang-frank-wang-8bb615a5/
Haoxiang (Frank) Wang's Projects
Attention based model for learning to solve different routing problems
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Mathematics of Deep Learning, Courant Insititute, Spring 19
pytorch neural combinatorial optimization
Course notes for graduate-level class on numerical methods for deep learning
Google's Operations Research tools:
LaTeX style for Python highlighting
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).
Build your neural network easy and fast
Built uncertainty sets for demand forecasting of Hubway bikes and solved the optimization problem of bike rebalancing within stations.
Course webpage for "Statistics 612: Linear Models"
Course website for STAT 665
Reinforcement Learning for Solving the Vehicle Routing Problem