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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 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. -
PDBbind dataset
The dataset used for benchmarking protein-ligand interaction prediction models. -
SAIBench: A Structural Interpretation of AI for Science Through Benchmarks
The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging. -
YCB Object and Model Set
The YCB object and model set is a benchmark for manipulation research, consisting of 15 object categories and 3D models. -
Bighand2.2m Benchmark
Bighand2.2m benchmark: Hand pose dataset and state of the art analysis. -
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... -
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... -
DTU Benchmark Dataset
The DTU benchmark dataset consists of scenes featuring real objects, including images, corresponding camera poses, and reference point clouds obtained from a structured-light... -
DeepMind Control Suite
The DeepMind Control Suite is a collection of 20 robotic manipulation tasks, each with 5 different environments and 5 different robot parameters. The tasks are designed to test... -
Resyris - a real-synthetic rock instance segmentation dataset for training an...
A real-synthetic rock instance segmentation dataset for training and benchmarking.
