shayneobrien/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
504 stars. No commits in the last 6 months.
Stars
504
Forks
72
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 19, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/shayneobrien/generative-models"
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
tdspora/syngen
Open-source version of the TDspora synthetic data generation algorithm.
always-further/deepfabric
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
Data-Centric-AI-Community/ydata-synthetic
Synthetic data generators for tabular and time-series data