Alternatives and similar repositories for iminizinc

Users that are interested in iminizinc are comparing it to the libraries listed below

• paolodragone / pymzn
  A Python wrapper for the MiniZinc tool pipeline.
  ☆55Updated 3 years ago
• IainNZ / ORSoftwareTools2014
  Repository for code/examples/instructions for the MIT course 15.S60 "Software Tools for Operations Research"
  ☆25Updated 11 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• jpmml / jpmml-postgresql
  PMML evaluator library for the PostgreSQL database (http://www.postgresql.org/)
  ☆11Updated 10 years ago
• CP-Unibo / sunny-cp
  A CP Portfolio Solver
  ☆26Updated 2 years ago
• unitn-sml / pyconstruct
  Python library for declarative, constrained, structured-output prediction.
  ☆21Updated last year
• posterior / treecat
  A Bayesian latent tree model of high-dimensional heterogeneous data
  ☆23Updated 7 years ago
• ColCarroll / callisto
  A command line utility to create kernels in Jupyter from virtual environments.
  ☆16Updated 7 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• probcomp / cgpm
  Library of composable generative population models which serve as the modeling and inference backend of BayesDB.
  ☆25Updated last year
• deepppl / deepppl
  Deep Probabilistic Programming Language
  ☆19Updated last year
• agentmodels / agentmodels.org
  Modeling agents with probabilistic programs
  ☆67Updated 5 years ago
• SanDisk-Open-Source / desmod
  Discrete Event Simulation Modeling framework for SimPy
  ☆71Updated 4 years ago
• networkl / networkl
  NetworkL is a Python package which extends the scope of the NetworkX package to (L)arge time-varying graphs. It supports the manipulation…
  ☆28Updated 4 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• wildtreetech / bayesian-optimisation
  Finding the best parameters for any algorithm
  ☆42Updated 7 years ago
• dmarx / Topological-Anomaly-Detection
  Topological Anomaly Detection (TAD) per Gartley and Basener 2009
  ☆69Updated 5 years ago
• krasch / presentations
  Material for some talks I have given
  ☆62Updated 11 months ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 9 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• RaRe-Technologies / talks
  Presentations & notebooks from our talks /workshops/meetups/etc
  ☆24Updated 7 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 8 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆58Updated 7 years ago
• AI-ON / deep-embedding
  Discovering deep embedding spaces for Psychiatric imaging
  ☆16Updated 7 years ago
• yhat / yhat-client
  Python client for ScienceOps
  ☆29Updated 5 years ago
• pmlab / pmlab-full
  Process Mining scripting environment
  ☆46Updated 5 years ago
• eomahony / Numberjack
  Python Combinatorial Optimisation Platform
  ☆160Updated 4 years ago
• csxeba / trickster
  Reinforcement learning in TensorFlow 2
  ☆22Updated 3 years ago