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.
Synthetic data generation for DataSHIELD
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)
SynPopToolbox is a Python framework designed for analysis, visualization and manipulation of a synthetic population produced by the land-use simulation software FaLC (https://github.com/falc-sim-org/FaLC) and related subproducts. Contact: davi.guggisberg@sbb.ch
Synthetic 3D echo with paired labels using Latent Diffusion Model
Datasets used in the NLSAM paper
Probabilistic Noising of Natural Language
Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.
Google Translate based Myanmar-Thai synthetic parallel corpus
Generalized Automatic Pipeline for inspecting and fixing uncertainties in your data
Repository to perform analysis of fairness in generative models
Synthetic Data Generation by Genetic Algorithm (GA)
Synthetic tree point cloud dataset with ground truth skeletons.
Synthetic dataset for Object Detection
A python tool to create synthetic bounding box data using black background and white boxes
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