Synthetic data generation for tabular data
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Updated
May 14, 2024 - Python
Synthetic data generation for tabular data
Mini Project about synthetic data generation by implementing CTGAN algorithm on tabular data
Synthetic Data Generation for mixed-type, multivariate time series.
Industrial Practicum Project
A web tool to convert Stardew Valley XNB mods to Content Patcher
Pedestrian collision prediction using GeoVex embeddings and linear classifier
A Regression approach for the automated detection of the Parkinson's Disease based on an Ensemble of Neural Networks.
Development of a small sized SDV for PCB manufacturing microfactory. It uses ROS in two different Single Board computers.
Synthetic data generation for time series weather forecasting data.
This is an attempt to visualize relationships/"artifact flow" between all the different automotive software communities.
In this repository, I tried to investigate the utility of synthetic data generated by DataSynthesizer and Synthetic Data Vault in machine learning tasks. I applied the Random Forest, Logistic Regression, Support Vector Machine, K-Nearest Neighbor, and Naive Bayes algorithms to the synthetic data and made a comparison.
Using Credit Card Fraud Detection Dataset to generate and evaluate synthetic data. Test synthetic data on multiple train test split with ANN and Random Forest Classifier.
notebooks implementing the different libraries of Synthetic Data Vault (SDV) for generating synthetic data
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