artefactory / choice-learnLinks
Discrete choice modeling in Python with large datasets & single choice / basket models - Assortment & Pricing Optimization .
☆103Updated 2 weeks ago
Alternatives and similar repositories for choice-learn
Users that are interested in choice-learn are comparing it to the libraries listed below
Sorting:
- A Python package for GPU-accelerated estimation of mixed logit models.☆62Updated last year
- A list of transportation network data☆18Updated 6 years ago
- Bandit algorithms for dynamic pricing of many products☆43Updated 6 years ago
- Unstructured Code with interesting analysis☆36Updated last year
- Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)☆26Updated 4 years ago
- Repository for the MIT course 15.S60 "Software Tools for Operations Research"☆21Updated 9 years ago
- This is an old version of Larch. Find the new version here:☆42Updated 7 months ago
- Examples on numerical optimization☆66Updated last year
- Python inventory optimization and simulation tools.☆146Updated 7 months ago
- Mathematical Programming and Operations Research: Modeling, Algorithms, and Complexity. Examples in Python and Excel. Edited by Robert Hi…☆36Updated 2 months ago
- Python library for discrete choice modeling☆83Updated 2 years ago
- Julia package for finding traffic user equilibrium flow☆44Updated 8 months ago
- Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.☆61Updated 6 years ago
- IneqPy package provides statistics to carry on quantitative analysis of inequality.☆20Updated last year
- Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.☆65Updated last year
- PyData London 2022 Tutorial☆69Updated 3 years ago
- Berlin Time Series Analysis Repository☆104Updated 2 years ago
- AWS Last Mile Route Sequence Optimization☆72Updated last year
- A python package for estimating conditional logit models.☆202Updated 3 years ago
- Replication Code for Paper "Stochastic Optimization Forests".☆21Updated 4 years ago
- Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"☆50Updated last year
- Spatial econometric regression in Python☆84Updated 3 weeks ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Code for blog posts.☆20Updated 2 years ago
- Repository containing the code of the projects presented in my personal website.☆45Updated this week
- Implementation of the Recursive Logit model for prediction and estimation☆21Updated 11 months ago
- ☆52Updated 3 years ago
- A multiverse of Prophet models for timeseries☆70Updated 2 weeks ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- multilevel spatially-correlated variance components models☆18Updated last year