Alternatives and similar repositories for assurvey:

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

• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆76Updated 4 years ago
• coseal / aslib_data
  Algorithm Selection scenario data
  ☆30Updated last year
• dquail / NonStationaryBandit
  Non stationary bandit for experiments with Reinforcement Learning
  ☆34Updated 8 years ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆50Updated 10 months ago
• matthewjwoodruff / pareto.py
  Nondominated sorting for multi-objective problems
  ☆115Updated 6 years ago
• paolodragone / pymzn
  A Python wrapper for the MiniZinc tool pipeline.
  ☆55Updated 3 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• coin-or / GrUMPy
  A Python library for visualizing algorithms for solving mathematical optimization problems.
  ☆64Updated 3 years ago
• alexrutar / banditvis
  A Python 3 Bandit Visualization Package
  ☆11Updated 7 years ago
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆103Updated last year
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆31Updated 4 years ago
• vidalt / BA-Trees
  Born-Again Tree Ensembles: Transforms a random forest into a single, minimal-size, tree with exactly the same prediction function in the …
  ☆65Updated last year
• kerschke / flacco
  Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems
  ☆61Updated 2 years ago
• interpretable-ml / iml
  Interpretable ML package designed to explain any machine learning model.
  ☆61Updated 6 years ago
• emlopt / emllib
  Empirical Model Learning Library
  ☆19Updated 2 years ago
• rkimura47 / cmu-comp-or
  A series of tutorials for conducting computational experiments with optimization solvers
  ☆89Updated 11 months ago
• meelgroup / MLIC
  A new framework to generate interpretable classification rules
  ☆17Updated 2 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆114Updated 11 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 4 years ago
• automl / CAVE
  [deprecated] Configuration Assessment, Visualization and Evaluation
  ☆46Updated 2 years ago
• Reiyan / pflacco
  Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems
  ☆23Updated 10 months ago
• qcappart / learning-DD
  Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
  ☆25Updated 5 years ago
• HuasenWu / DuelingBandits
  Simulations for Dueling Bandit Algorithms, including our Double Thompson Sampling (D-TS) algorithms
  ☆25Updated 8 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• lkovanen / TMFinder
  Temporal Motif Finder
  ☆25Updated 8 years ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆49Updated 3 years ago
• Networks-Learning / l1-ls.py
  L1 regularized Least Squares minimization problem solver.
  ☆17Updated 8 years ago
• algofairness / runaway-feedback-loops-src
  Accompanying source code for "Runaway Feedback Loops in Predictive Policing"
  ☆16Updated 7 years ago
• agentmodels / agentmodels.org
  Modeling agents with probabilistic programs
  ☆67Updated 5 years ago
• IOHprofiler / IOHanalyzer
  Performance analyzer for Iterative Optimization Heuristics.
  ☆24Updated 10 months ago