Synthetic data generation for tabular data
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Updated
Jun 3, 2024 - Python
Synthetic data generation for tabular data
Conditional GAN for generating synthetic tabular data.
Deep Convolutional Neural Networks for Musical Source Separation
A library to model multivariate data using copulas.
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Random dataframe and database table generator
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
A novel approach for synthesizing tabular data using pretrained large language models
Custom image data generator for TF Keras that supports the modern augmentation module albumentations
Synthetic Data Generation for mixed-type, multivariate time series.
A Keras/Tensorflow compatible image data generator for TripletLoss
📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python
Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs.
NoiseMix - data generation for natural language
Python wrapper for the Hypervector API (https://hypervector.io)
🏞️ Official implementation of "Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition"
Scripts for data generation using Blender and 3D datasets like Matterport3D.
GRADE: Generating Animated Dynamic Environments for Robotics Research
A self driving car created using Python, Keras/Tensorflow, Udacity simulator engine.
Data generators in Python
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