Synthetic dataset generators for online topic modeling that can introduce concept drift and shift into non temporal-datasets.
-
Updated
Oct 11, 2017 - Python
Synthetic dataset generators for online topic modeling that can introduce concept drift and shift into non temporal-datasets.
A tool to generate a new dataset containing redundant attributes from other dataset.
Synthetic Attribute Graph Model (AGM)
R package for Cardiovascular Risk Dataset and Data generation script
Synthetic Dataset Generation: Recovering Homography from Camera Captured Documents
A synthetic training data generator for a text recognition CNN
Master's thesis work as a part of M2(Advanced Robotics) @ Centrale Nantes
Dataset augmentation with Generative Adversarial Network for crop/weed segmentation
IBM Synthetic Data Generator for Itemsets and Sequences
FRIDGR dataset generation
Synthetic data generation pipeline with differential privacy
This is an experiment in applying a GAN to randomly generate organic data.
Synthetic Occlusion Augmentation
Synthetic data generator for text detection/localisation tasks.
Fraud Detection of a 6 million row dataset using AWS and Spark
Utils for itemset and sequence mining
Tree Generator: Synthetic tree structured data generator
HTML5 Canvas Floodfill via JavaScript
Сhess game image generation using unity3d
Add a description, image, and links to the synthetic-dataset-generation topic page so that developers can more easily learn about it.
To associate your repository with the synthetic-dataset-generation topic, visit your repo's landing page and select "manage topics."