generative-models and GANVAS-models

These two tools are competitors, as both aim to provide a collection or library of various generative models like GANs and VAEs, offering similar functionalities for synthetic data generation.

generative-models
51
Established
GANVAS-models
35
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 14/25
Stars: 7,497
Forks: 2,021
Downloads:
Commits (30d): 0
Language: Python
License: Unlicense
Stars: 10
Forks: 3
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About generative-models

wiseodd/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

This collection helps machine learning researchers and practitioners experiment with advanced generative models to create new, synthetic data from existing datasets. You provide an initial dataset of images, text, or other patterns, and the models generate novel, similar outputs. It's designed for those exploring the cutting edge of artificial intelligence for content creation, data augmentation, or anomaly detection.

deep-learning-research synthetic-data-generation image-generation data-augmentation machine-learning-engineering

About GANVAS-models

MRSAIL-Mini-Robotics-Software-AI-Lab/GANVAS-models

Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)

This project helps machine learning researchers and practitioners explore and experiment with different types of generative models. You can input various image datasets like shapes, colored shapes, MNIST, or custom images, and it will output trained generative models capable of creating new, similar images. It's designed for individuals focused on advancing or applying generative AI.

Generative AI Machine Learning Research Image Synthesis Deep Learning Model Prototyping

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