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
ARC tasks compatible with the Abstraction and Reasoning Corpus json file format
Project Page (ObjectDR)
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
Train object detection model with synthetic data (coin images). Use the trained model to detect coins in real images.
A repository for generating synthetic data (images) using various DL/ML models.
Class that provides methods to generate synthetic data.
This repository provides the implementation of our paper "Exploring the Potential of Synthetic Data for Pedestrian Analysis" delivered for the "Computer Vision and Cognitive System" course @Unimore
The objective is to implement different clustering methods to synthetic and real-world data and validate using external and internal validation techniques
O objetivo deste projeto é gerar séries aleatórias por meio de um processo estocástico
Implementation of the VLBD-Journal paper "Exploiting domain knowledge to address class imbalance and a heterogeneous feature space in multi-class classification".
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
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