ajgara / choice-models
Python package to work with Discrete Choice Models.
☆26Updated last year
Alternatives and similar repositories for choice-models:
Users that are interested in choice-models are comparing it to the libraries listed below
- A Python package for GPU-accelerated estimation of mixed logit models.☆55Updated last year
- Replication Code for Paper "Stochastic Optimization Forests".☆19Updated 3 years ago
- ☆124Updated 6 months ago
- A python package for estimating conditional logit models.☆193Updated 2 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆75Updated 9 months ago
- ☆16Updated 2 years ago
- Data-Driven operations management - https://d3group.github.io/ddop☆16Updated 10 months ago
- replication python code for synthetic difference in difference simulation. please check https://arxiv.org/abs/1812.09970 and https://gi…☆15Updated 6 years ago
- Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)☆24Updated 3 years ago
- Computational graph-based discrete choice models☆12Updated 2 years ago
- 收益管理☆12Updated 6 years ago
- ☆33Updated 4 years ago
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆38Updated 5 years ago
- ☆10Updated 4 years ago
- Work from class 15.095 Machine Learning Under a Modern Optimization Lens at MIT taught by Dimitris Bertsimas and Martin Copenhaver☆40Updated 6 years ago
- ☆10Updated 3 years ago
- This is the Web site associated with the repository for hosting software and data associated with papers appearing in the INFORMS Journal…☆19Updated 2 weeks ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆63Updated last year
- Synthetic difference in differences for Python☆78Updated last year
- Estimation of latent class choice models using the Expectation Maximization algorithm in addition to constraining the choice set across c…☆17Updated 8 years ago
- Robust Stochastic Optimization Made Easy☆316Updated 5 months ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆71Updated 4 years ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- Econ5121A@CUHK. This is an open-source writing project.☆88Updated last month
- Materials Collection for Causal Inference☆45Updated 2 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆38Updated 10 months ago
- Python inventory optimization and simulation tools.☆130Updated last week
- Choice modeling with PyTorch: logit model and nested logit model☆50Updated last week
- Multinomial logit, Nested logit, Mixed logit and Latent class models☆13Updated 4 years ago
- Mono-repo for the PhD course AI for Business Research (DOTE 6635, S25)☆70Updated 3 weeks ago