Generative Adversarial Network using PyTorch

In this project, we implement a basic GAN model using PyTorch to generate handwritten digits.

To learn more about GANs, check a mathematical tutorial in my github.

File Structure

mnist.ipynb ----- A comprehensive notebook, step-by-step explanation of model bulidng

mnist.py ----- A fast-run version, script that you can see results within approximate hour after training

utils.py ----- Print resuls, save model and related

UC Berkeley IEOR FinTech Capstone Team (Edward Tiong, Fan Xi, Yitong, Yishuang, Yuxin)
UC Berkeley IEOR FinTech Faculty (Prof Xin Guo, Cheng-Ju)
more to be added

If you face any issues or have any questions, please contact me at qi_chen@berkeley.edu

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
README.md		README.md
mnist.ipynb		mnist.ipynb
mnist.py		mnist.py
mnist_training_results.gif		mnist_training_results.gif
utils.py		utils.py