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MLonMCU: TinyML Benchmarking with Fast Retargeting
TinyML benchmarking with Fast Retargeting -
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for machine learning on graphs. -
Benchmark problems for gray-box optimization
The dataset used in this paper is a set of benchmark problems for gray-box optimization, including the Sphere function, Rosenbrock function, REBGrid function, and others. -
Benchmark Test-Suite
The benchmark test-suite is a collection of twelve well-known test functions from the literature, including unimodal, multimodal, separable, and non-separable functions. The... -
DiLiGenT Benchmark
A benchmark dataset for non-lambertian and uncalibrated photometric stereo. -
Benchmark Graphs for Testing Community Detection Algorithms
The LFR benchmark is a collection of artificial networks with a known community structure. -
BEND: Benchmarking DNA language models on biologically meaningful tasks
A benchmark dataset for DNA language models, focusing on biologically meaningful tasks. -
A large scale benchmark for uplift modeling
A large scale benchmark for uplift modeling. -
Minecraft SkillForge Benchmark
The Minecraft SkillForge benchmark is a comprehensive evaluation framework for Minecraft agents. -
Amazon Baby Registries
The Amazon Baby Registries benchmark contains 15 datasets, each representing a collection of registries or “baskets” of baby products from a specific category. -
Twenty Datasets
The Twenty Datasets benchmark contains 20 real-world datasets ranging from retail to biology. -
PDBbind dataset
The dataset used for benchmarking protein-ligand interaction prediction models. -
Bighand2.2m Benchmark
Bighand2.2m benchmark: Hand pose dataset and state of the art analysis. -
TUM RGB-D Dataset
A benchmark for the evaluation of RGB-D SLAM systems. -
Branin function
The Branin function is a well-known function for benchmarking optimization methods. It is a 2D function with three global maxima. -
Convnet-benchmarks
The dataset used in this paper is a benchmark suite for Convolutional Neural Networks. -
Neural Latents Benchmark
The Neural Latents Benchmark (NLB) is a benchmark for evaluating latent variable models of neural population activity. -
IHDP dataset
IHDP dataset, a semi-synthetic dataset which consists of 747 patients with 25 covariates. The patient covariates come from a real randomized medical study from the 80s, however... -
MoleculeNet dataset
The MoleculeNet dataset is a benchmarking platform for molecular machine learning. -
Benchmark datasets
The dataset used in the paper is a collection of small images, each representing a patch of a jigsaw puzzle. The patches are of the same size and orientation, and the goal is to...