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Topic: "artificial-data"

ayaanzhaque/EC-GAN

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

Language: Jupyter Notebook - Size: 5.52 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 5

aasimsani/artificial_manga_panel_dataset

There's no publicly available free-to-use Manga Dataset, so I decided to make one artificially!

Language: Python - Size: 6.63 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 36 - Forks: 7

ctlab/samovar

Algorithms package for generating model metagenomes with specified properties

Language: Jupyter Notebook - Size: 25 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 5 - Forks: 0

frank690/mqtt-forger

easily generate a stream of data via mqtt to any host. combine functions to generate funky data while broadcasting.

Language: Python - Size: 296 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

AstraBert/simON-reads

simON-reads ("Simulate Oxford Nanopore Reads") is a simple yet powerful tool to generate fastq files containing MiniON-like long reads

Language: Python - Size: 95.7 KB - Last synced at: about 21 hours ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

NareshGuru77/SemanticSegmentation

Semantic Segmentation using Resource Efficient Deep Learning

Language: Jupyter Notebook - Size: 169 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 2

miriamspsantos/datagenerator Fork of sysmon37/datagenerator

A generator of multi-dimensional and multi-class imbalanced data, designed to create artificial datasets for the study of data difficulty factors in imbalanced learning.

Language: Java - Size: 16 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

UIUCLearningLanguageLab/PolyominoWorld

Train and evaluate neural nets on toy data

Language: Python - Size: 255 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0