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diagramexample

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.

dianji_v3

多区域互联电力系统的分布式优化调度方法

dip

DIP is a decomposition-based solver framework for mixed integer linear programs.

dip.old

This a mirror of the subversion repository on COIN-OR.

dirent

C/C++ library for retrieving information on files and directories

disco

Discrete Conic Optimization Solver

discrete-des-mopf

Discrete designs for Distributed Energy Systems with Multiphase Optimal Power Flow.

disease-prediction-using-machine-learning

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.

dispa-set

The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC

disserta-o-mestrado

dissertação

distcl

A Neural Network-Based Distributional Constraint Learning tool for Mixed-Integer Stochastic Optimization

distribution_grid_analysis

distributionally-robust-optimization

Experiments with distributionally robust optimization (DRO) for deep neural networks

distributionally-robust-stochastic-opf

djinni

A Templatized C++ Framework with Python Bindings for Heuristic Search

djqgeoexe

Courese Design/MFC/Grid Index/Map Projection/Convexhull/Window Clip

dlib

A toolkit for making real world machine learning and data analysis applications in C++

docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

doro

Distributional and Outlier Robust Optimization

dpr

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)

dr-da

Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts

dr-da-1

Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts

dr-trpo

Optimistic Dristributionally Robust Policy Optimization

dr_jcc

drl_hfv

Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles

dro

recovering best statistical guarantees via the empirical divergence-based distributionally robust optimization

dro-tex

Problem set for the class on Distributionally Robust Optimization

dsb2017

Code for 2nd place solution to the 2017 National Data Science Bowl

dtalite

dtalite_beta_test