amanchadha/coursera-gan-specialization
Programming assignments for Coursera's Generative Adversarial Networks specialization covering foundational to advanced GAN implementations in PyTorch.
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This repository contains the complete set of programming assignments and quizzes from deeplearning.ai’s GAN Specialization on Coursera. The specialization covers three courses progressing from basic GAN architectures like DCGAN and WGAN, through improved variants like StyleGAN, to advanced applications such as image-to-image translation with pix2pix and conditional generation. All implementations are built with PyTorch and include neural network models for generative adversarial training.
Frequently asked
- What is amanchadha/coursera-gan-specialization?
- Programming assignments for Coursera's Generative Adversarial Networks specialization covering foundational to advanced GAN implementations in PyTorch.
- Is coursera-gan-specialization open source?
- Yes — amanchadha/coursera-gan-specialization is open source, released under the MIT license.
- What language is coursera-gan-specialization written in?
- amanchadha/coursera-gan-specialization is primarily written in Jupyter Notebook.
- How popular is coursera-gan-specialization?
- amanchadha/coursera-gan-specialization has 484 stars on GitHub.
- Where can I find coursera-gan-specialization?
- amanchadha/coursera-gan-specialization is on GitHub at https://github.com/amanchadha/coursera-gan-specialization.