TrevorW-code/fraud
synthetic data for ml
Need more data for training your machine learning models? This project helps you create realistic, artificial datasets when real data is hard to get. You provide a template or a sample of existing data, and it generates many new examples that follow the same pattern, allowing you to improve your models without extensive data collection.
No commits in the last 6 months. Available on PyPI.
Use this if you have a small dataset for your machine learning model and need to generate more examples to improve its performance and robustness.
Not ideal if you already have access to large quantities of real, high-quality data, as synthetic data is a supplement, not a replacement, for genuine information.
Stars
25
Forks
2
Language
Python
License
—
Category
Last pushed
Jan 30, 2025
Commits (30d)
0
Dependencies
3
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/TrevorW-code/fraud"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Diyago/Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in...
meta-llama/synthetic-data-kit
Tool for generating high quality Synthetic datasets
Data-Centric-AI-Community/ydata-synthetic
Synthetic data generators for tabular and time-series data
tdspora/syngen
Open-source version of the TDspora synthetic data generation algorithm.
vanderschaarlab/synthcity
A library for generating and evaluating synthetic tabular data for privacy, fairness and data...