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generative-models

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Python

Project Description

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

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

Project Title

generative-models — A comprehensive collection of generative models in PyTorch and TensorFlow

Overview

The generative-models project is a repository that offers a wide range of generative models, including GANs, VAEs, RBMs, and Helmholtz Machines, implemented in both PyTorch and TensorFlow. This project stands out for its extensive coverage of different generative models, providing a one-stop solution for researchers and developers working in the field of generative models.

Key Features

  • Extensive collection of generative models
  • Implementations in both PyTorch and TensorFlow
  • Includes popular models like GAN, VAE, RBM, and Helmholtz Machine

Use Cases

  • Researchers and developers in the field of generative models can use this project to experiment with different models and architectures.
  • The project can be used for training and generating samples in various applications such as image generation, style transfer, and data augmentation.
  • Educational purposes, as it provides a comprehensive collection of generative models for learning and understanding.

Advantages

  • Offers a wide range of generative models in one repository
  • Implementations in two popular deep learning frameworks, PyTorch and TensorFlow
  • Facilitates easy experimentation and comparison of different models

Limitations / Considerations

  • The project's license is unknown, which may affect its usage in commercial applications
  • The project's focus is on providing implementations, so it may not include detailed explanations or tutorials for each model

Similar / Related Projects

  • TensorFlow Models: A collection of sample models and tutorials built with TensorFlow. It includes a variety of models, including some generative models, but is not as focused on generative models as generative-models.
  • PyTorch Examples: A repository of examples showing how to use PyTorch for deep learning. It includes some generative models, but is not as comprehensive as generative-models in terms of the variety of models covered.

Basic Information


📊 Project Information

🏷️ Project Topics

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Project Information

Created on 12/7/2016
Updated on 11/23/2025