Discrete choice modeling in Python with large datasets & single choice / basket models - Assortment & Pricing Optimization .
☆126Jul 27, 2026Updated last week
Alternatives and similar repositories for choice-learn
Users that are interested in choice-learn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- MGS-GRF for imbalanced-mixed-tabular data (AISTATS 2026 and ECML-PKDD 2025)☆54Apr 7, 2026Updated 3 months ago
- WoodTapper — a Python toolbox for interpretable and explainable tree ensembles.☆44Jun 15, 2026Updated last month
- Predicts the winner of a tennis match with machine learning☆74Jun 15, 2026Updated last month
- ☆10Apr 27, 2025Updated last year
- Key: time series analysis, forecasting of GDP growth, macroeconomic, Kalman-filtering techniques, and a dynamic factor model.☆19Aug 8, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Room Generator based on a CSP Solver☆13Nov 5, 2022Updated 3 years ago
- Implementation of the paper End-to-end Learning of Deterministic Decision Trees☆17May 19, 2022Updated 4 years ago
- ☆10Aug 16, 2023Updated 2 years ago
- ☆18Nov 28, 2023Updated 2 years ago
- Laplacian convolutional representation for traffic time series imputation. (IEEE TKDE'24)☆23Nov 6, 2024Updated last year
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆45Jul 28, 2026Updated last week
- Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach☆10Jun 18, 2023Updated 3 years ago
- Streamlit apps on Cloud Run with Identity-Aware Proxy (IAP).☆10Mar 5, 2022Updated 4 years ago
- ☆10Feb 4, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆15Jan 30, 2024Updated 2 years ago
- 🚀 A comprehensive project analyzing Big Tech stock prices using time series analysis, volatility modeling, and macroeconomic indicators.…☆10Jun 29, 2024Updated 2 years ago
- ☆11May 9, 2022Updated 4 years ago
- ☆16Mar 28, 2023Updated 3 years ago
- Course material for UP206A: Introduction to GIS and Spatial Data Science☆16Oct 1, 2021Updated 4 years ago
- Introductory tutorial to Biogeme☆23Apr 28, 2022Updated 4 years ago
- ☆12Feb 2, 2024Updated 2 years ago
- Fast Inventory simulation and optimization☆10Feb 23, 2025Updated last year
- Python implementation of Entropy Balancing for binary and continuous treatment☆21Dec 16, 2025Updated 7 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Mar 15, 2019Updated 7 years ago
- The Continental Nodes for KNIME Extension provides data processing and reporting capabilities intended for business users of the KNIME An…☆11Sep 15, 2025Updated 10 months ago
- tests for cohort-level heterogeneity in panel regression☆11Mar 12, 2025Updated last year
- Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)☆16Nov 30, 2020Updated 5 years ago
- ☆22Jun 3, 2019Updated 7 years ago
- Hierarchical Forecasting at Scale☆17Mar 18, 2024Updated 2 years ago
- ☆20Dec 2, 2025Updated 8 months ago
- A python library for generating macro-economic scenarios☆11Dec 17, 2024Updated last year
- ‘math+econ+code’ lectures on optimal transport and economic applications, January 2021☆13Sep 14, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Behavioral Economic Easy Demand☆17Jun 30, 2026Updated last month
- A list of various articles that I find helpful for reading about deep learning, forecasting, or macroeconomics☆16May 8, 2018Updated 8 years ago
- Choice modeling with PyTorch: logit model and nested logit model☆60May 15, 2026Updated 2 months ago
- HODMD algorithm from Le Clainche & Vega, SIAM J. on Appl. Dyn. Sys. 16(2), 882-925, 2017☆13Nov 14, 2017Updated 8 years ago
- A Python package for GPU-accelerated estimation of mixed logit models.☆67Jan 11, 2024Updated 2 years ago
- Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition☆10Apr 4, 2020Updated 6 years ago
- [IROS 2025] HARP-NeXt: High-Speed and Accurate Range-Point Fusion Network for 3D LiDAR Semantic Segmentation☆20Apr 12, 2026Updated 3 months ago