JuLS is a Julia Local Search solver that combines Constraint Based Local Search (CBLS) and Constraint Programming (CP)

colboost: boosting ensembles based on column generation

Julia package to solve Knapsack problems

Feasibility Pump Collection

Decision boosting for convex cone predict and optimize problems

Code for the differentiable feasibility pump

An algorithm for learning optimal decision trees, with Python interface

Visualize decision trees in Python

Enjoy the magic of Diffusion models!

Cone-Aligned Vector Estimation for End-to-End Binary Linear Programming

Official repository for the ICML'24 paper CF-OPT: Counterfactual Explanations for Structured Prediction.

ZERO is a modular C++ library interfacing Mathematical Programming and Game Theory.

Python code to prune ensembles

Neur2SP: Neural Two-Stage Stochastic Programming

StochOptim is a Stochastic Optimization package with scenario-generation tools for two- and multi-stage problems

Differentiable Clustering with Perturbed Random Forests, NeurIPS2023

A visual simulation of competing agents

Mixbox is a library for natural color mixing based on real pigments.

Code for "Adaptive Partitioning for Chance-Constrained Problems" (SIOPT 2025)

Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses