d3group / ddopLinks
Data-Driven operations management - https://d3group.github.io/ddop
☆18Updated last year
Alternatives and similar repositories for ddop
Users that are interested in ddop are comparing it to the libraries listed below
Sorting:
- ☆14Updated 2 years ago
- MIE424 Group Project: smart_predict_optimize☆15Updated 4 years ago
- Replication Code for Paper "Stochastic Optimization Forests".☆21Updated 4 years ago
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆19Updated last year
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated last year
- ☆10Updated 2 years ago
- ☆33Updated 5 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆85Updated last year
- Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.☆11Updated 3 years ago
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆13Updated 3 years ago
- Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"☆20Updated 4 years ago
- Code for "Explainable Data-Driven Optimization" (ICML 2023)☆14Updated 2 years ago
- Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…☆18Updated last year
- ☆11Updated 4 years ago
- This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆59Updated 8 months ago
- ☆27Updated 5 years ago
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆17Updated 2 years ago
- Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz☆27Updated 4 years ago
- Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…☆10Updated last year
- COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility☆14Updated 4 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆14Updated 4 years ago
- A repository holding methods from data-driven-optimization used in data science and operations research including sample average approxim…☆23Updated 5 years ago
- Reinforcement Learning for Optimal inventory policy☆33Updated 4 years ago
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆20Updated last year
- Smart Charging Infrastructure Planning Tool (SCRIPT) Project - Funded by the California Energy Commission (CEC) - EPC-16-057☆10Updated 4 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆39Updated 6 years ago
- ☆26Updated last year
- ☆12Updated 4 years ago
- This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.☆12Updated last year
- Neur2SP: Neural Two-Stage Stochastic Programming☆50Updated 2 years ago