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.

Mosaic: MCTS-based Pipeline Optimization

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.

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.

Code and text for the paper "A Comprehensive Study of k-Portfolios of Recent SAT Solvers".

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).

Automated Algorithm Selection for Time-series Forecasting

Uses reinforcement learning to train an algorithm selection model in solving subgraph isomorphism problems.

An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.

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''

Algorithm Selection platform for Object Detection

Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Algorithm Selection.

Nitro Autotuning Framework

Machine Learning Classification on Unbalanced Real World Dataset