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Mario AI Level Generation Competition
The Mario AI Level Generation Competition dataset is a collection of levels generated using different algorithms and techniques. -
OpenDataLab: Empowering General Artificial Intelligence with Open Datasets
OpenDataLab is a platform designed to bridge the gap between diverse data sources and the need for unified data processing. -
AI-Based Automated Speech Therapy Tools for Persons with Speech Sound Disorders
The dataset used in this systematic literature review on AI-based automated speech therapy tools for persons with speech sound disorders. -
Towards deep learning-powered IVF: A large public benchmark for morphokinetic...
A large public benchmark for morphokinetic parameter prediction in IVF -
Challenge 3 - Blue and Yellow Circles
Challenge 3 - Blue and Yellow Circles: Set of all possible Kandinsky Figures consist of equal size blue and yellow circles. -
Challenge 2 - Nine Circles
Challenge 2 - Nine Circles: Set of Kandinsky Figures consist of 9 circles arranged in a regular grid. -
Challenge 1 - Objects and Shapes
Challenge 1 - Objects and Shapes: Ground truth gt(k) is defined as 'in a Kandinsky Figure small objects are arranged on big shapes same as object shapes, in the big shape of... -
Kandinsky Patterns
Kandinsky Patterns are mathematically describable, simple self-contained hence controllable test data sets for the development, validation and training of explainability in... -
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Laten...
Arbitrary Style Transfer (AST) aims to transform images by adopting the style from any selected artwork. Nonethe-less, the need to accommodate diverse and subjective user... -
TRN System Dataset
The dataset used for the experiments in this paper, which includes terrain relative navigation (TRN) system data. -
GNC Algorithm Dataset
The dataset used for the experiments in this paper, which includes guidance, navigation, and control (GNC) algorithm data. -
SAIBench: A Structural Interpretation of AI for Science Through Benchmarks
The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging. -
PANGeA: Procedural Artificial Narrative using Generative AI for Turn-Based, R...
PANGeA: Procedural Artificial Narrative using Generative AI for Turn-Based, Role-Playing Video Games -
Lifelong Teacher-Student Network Learning
A unique cognitive capability of humans consists in their ability to acquire new knowledge and skills from a sequence of experiences. Meanwhile, artificial intelligence systems... -
Size and Width of the Decoder of a Boolean Threshold Autoencoder
The dataset is used to study the size and width of autoencoders consisting of Boolean threshold functions. -
MNIST and CIFAR-10 datasets
The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions. -
Retrieving Labels for Noisy Input Patterns
Retrieving labels for noisy input patterns. -
Self-Organization to Exponential Capacity
Self-organization to exponential capacity. -
Robust Exponential Memory in Hopfield Networks
Robust exponential memory in Hopfield networks. -
Associative Content-Addressable Memory with Exponentially Many Robust Stable ...
Associative content-addressable memory with exponentially many robust stable states and robust error correction.
