tingyingwu's Projects
A simple example using libavoid from project Adaptagrams to route connections between objects. Developed on Windows 7 against Qt 5.7 using the MinGW5.3 compiler.
多区域互联电力系统的分布式优化调度方法
DIP is a decomposition-based solver framework for mixed integer linear programs.
This a mirror of the subversion repository on COIN-OR.
C/C++ library for retrieving information on files and directories
Discrete Conic Optimization Solver
Discrete designs for Distributed Energy Systems with Multiphase Optimal Power Flow.
This Machine Learning project is used to predict the disease based on the symptoms given by the user.It predicts using three different machine learning algorithms.So,the output is accurate.It uses tkinter for GUI.
The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC
dissertação
A Neural Network-Based Distributional Constraint Learning tool for Mixed-Integer Stochastic Optimization
Experiments with distributionally robust optimization (DRO) for deep neural networks
A Templatized C++ Framework with Python Bindings for Heuristic Search
Courese Design/MFC/Grid Index/Map Projection/Convexhull/Window Clip
A toolkit for making real world machine learning and data analysis applications in C++
These samples demonstrate how to use the DOcplex library to model and solve optimization problems.
Distributional and Outlier Robust Optimization
Dynamic Partial Removal: a Neural Network Heuristic for Large Neighborhood Search on Combinatorial Optimization Problems, by applying deep learning (hierarchical recurrent graph convolutional network) and reinforcement learning (PPO)
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Optimistic Dristributionally Robust Policy Optimization
Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles
recovering best statistical guarantees via the empirical divergence-based distributionally robust optimization
Problem set for the class on Distributionally Robust Optimization
Code for 2nd place solution to the 2017 National Data Science Bowl