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power-grid-lib / Pglib UcBenchmarks for the Unit Commitment Problem
KavrakiLab / Motion Bench MakerGenerate and benchmark datasets for robot manipulation problems
nep-pack / NonlinearEigenproblems.jlNonlinear eigenvalue problems in Julia: Iterative methods and benchmarks
oripress / AlgoTuneAlgoTune is a NeurIPS 2025 benchmark made up of 154 math, physics, and computer science problems. The goal is write code that solves each problem, and is faster than existing implementations.
Lei-Kun / FJSP BenchmarksThe public benchmark instances of flexible job shop scheduling problem
berhane / LAP SolversBenchmarking Linear Assignment Problem Solvers
awslabs / Or Rl BenchmarksThe source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
blt2114 / MotifBenchA standardized protein design benchmark for motif-scaffolding problems
PredOpt / Predopt BenchmarksThis repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase for benchmarking Predict-then-Optimize (PtO) problems using Decision-Focused Learning (DFL) approaches.
SvenGronauer / Bullet Safety GymAn open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
google-research / ZapbenchThe Zebrafish Activity Prediction Benchmark measures progress on the problem of predicting cellular-resolution neural activity throughout an entire vertebrate brain.
numfocus / Python BenchmarksA set of benchmark problems and implementations for Python
google-research-datasets / GSM ICGrade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant sentences in problem descriptions. GSM-IC is constructed to evaluate the distractibility of language models.
BatsResearch / PlanetariumDataset and benchmark for assessing LLMs in translating natural language descriptions of planning problems into PDDL
open-energy-transition / Solver BenchmarkA benchmark of (MI)LP solvers on energy modelling problems
openproblems-bio / Openproblems V2Formalizing and benchmarking open problems in single-cell genomics
blof / LINERLIBA benchmark suite for liner shipping network design problems and a parser for the instances in c++
aixcoder-plugin / Nl2code DatasetAix-bench, the Java benchmark for code synthesis problem.
mjebrahimi / Performance Wars Benchmarking CSharp🔥Performance Wars Benchmarking C# - This repository contains a collection of C# benchmarks to compare the performance of different approaches to solve the same problem.
aliasgharheidaricom / Slime Mould Algorithm A New Method For Stochastic Optimization In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity. The proposed SMA is compared with up-to-date metaheuristics in an extensive set of benchmarks to verify the efficiency. Moreover, four classical engineering structure problems are utilized to estimate the efficacy of the algorithm in optimizing engineering problems. The results demonstrate that the algorithm proposed benefits from competitive, often outstanding performance on different search landscapes. The source codes and info of SMA are publicly available at: http://www.alimirjalili.com/SMA.html
