A generator for synthetic, multivariate & heterogeneous datasteams with probabilistically repeating patterns.
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Updated
Feb 8, 2019 - R
A generator for synthetic, multivariate & heterogeneous datasteams with probabilistically repeating patterns.
A Synthetic data generator.
Implementation of "Synthetic Data Generation and Classification of Histopathological Images"
Credit Risk Analysis : Classification Models that can predict if a loan is likely to default using Decision Trees/Ensemble methods
Kaggle Competition
Project Page (ObjectDR)
Synthetic Financial Datasets For Fraud Detection
Google Translate based Myanmar-Thai synthetic parallel corpus
Generalized Automatic Pipeline for inspecting and fixing uncertainties in your data
Principal Component Analysis or PCA is a commonly used dimensionality reduction method. It works by computing the principal components and performing a change of basis.
The objective of my experiment is to analyze the performance of Random Forest, Naive Bayes, Logistic Regression, and K-nearest neighbors machine learning models for evaluation of the utility of synthesized data for fraud detection.
Создание синтетического датасета на основе cимуляции свойств физики SEM
GUI для теста алгоритмов создания синтетического датасета
A methodology to generate synthetic clinical animal data using generative diffusion models.
Synthetic Data Tools for Natural Language Processing (NLP) and Large Language Models (LLM) tasks
Relational database about restaurants & UI of customer transaction patterns
Generate synthetic time-series or augment existing ones
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