Synthetic data generation for tabular data
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Updated
May 14, 2024 - Python
Synthetic data generation for tabular data
Conditional GAN for generating synthetic tabular data.
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
A library to model multivariate data using copulas.
Deep Convolutional Neural Networks for Musical Source Separation
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
🏞️ Official implementation of "Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition"
Synthetic Data Generation for mixed-type, multivariate time series.
Custom image data generator for TF Keras that supports the modern augmentation module albumentations
jazznet dataset of piano patterns for music audio machine learning research
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python
NoiseMix - data generation for natural language
Generate arbitrary queries matching your GraphQL schema, and use them to verify your backend implementation.
GRADE: Generating Animated Dynamic Environments for Robotics Research
Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs.
Scripts for data generation using Blender and 3D datasets like Matterport3D.
[EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
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