Automated Algorithm Selection with Hyperparameter Optimization
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Updated
Oct 4, 2023 - Python
Automated Algorithm Selection with Hyperparameter Optimization
MachSMT: An ML-Driven Algorithm Selection tool for SMT Solvers
This repo holds the code, dataset, and running scripts for fast k-means evaluation
Algorithms to solve and features to characterise TSP problems.
This repository holds the code for our paper "Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis" by Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr and Eyke Hüllermeier.
Mosaic: MCTS-based Pipeline Optimization
Federated Meta-Learning: a concept that allows everyone to benefit from the data that is generated through machine learning libraries.
Papers I've been reading on machine learning (bandits, reinforcement learning, algorithm selection, optimal transport, time series, etc).
Code and text for the paper "A Comprehensive Study of k-Portfolios of Recent SAT Solvers".
Sparkle is a Programming by Optimisation (PbO)-based problem-solving platform designed to enable the widespread and effective use of PbO techniques for improving the state-of-the-art in solving a broad range of prominent AI problems, including SAT and AI Planning.
Uses reinforcement learning to train an algorithm selection model in solving subgraph isomorphism problems.
Stochastic search based CASH optimizer
Finding the best linkage strategy for bottom up clustering algorithms - ICLR 2020.
This repository holds the code for the paper 'HARRIS-Hybrid Ranking and Regression Forests for Algorithm Selection''
An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.
Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Algorithm Selection.
Algorithm Selection platform for Object Detection
Machine Learning Classification on Unbalanced Real World Dataset
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