AIAIART course
This repo will house the notebooks used for the AIAIART course. Part 1 (first four lessons) ran via Discord in September/October 2021. Part 2 started Saturday April 9th at 4pm UTC. Join the Discord linked below if you'd like to join the chat and get reminders for the livestream! Streams run on https://www.twitch.tv/johnowhitaker and more concise videos tend to go up on YouTube the following day.
The videos for past lessons: https://www.youtube.com/playlist?list=PL23FjyM69j910zCdDFVWcjSIKHbSB7NE8
Notebooks:
- Lesson 1 - PyTorch, Tensors, Gradient Descent (colab): https://colab.research.google.com/drive/1pp8hS5C6RTMpOLBJMwnx3d7JjicqgJKx?usp=sharing
- Lesson 2 - Learning Representations, Style Transfer (colab): https://colab.research.google.com/drive/1Rk8cXMdad9ASIVI6avPyp5bl0qmeOu6S?usp=sharing
- Lesson 3 - GANS+CLIP (colab): https://colab.research.google.com/drive/1qnV7PT1aSwomXvRmdoY_pgcR2ruvm6Of?usp=sharing
- Lesson 4 - Going Further (colab): https://colab.research.google.com/drive/1ipnriyQ-S5PD97sqZo4aieQOefMlkPwJ?usp=sharing
- Lesson 5 - Recap of key ideas and start of part 2: https://colab.research.google.com/drive/1cFqAHB_EQqDh0OHCIpikpQ04yzsjITXt?usp=sharing
- Lesson 6 - Transformers for image synthesis and VQ-GAN revisited: https://colab.research.google.com/drive/1VhiIxMw9YClzmwamu9oiBewhZPnhmSV-?usp=sharing
- Lesson 7 - Diffusion Models: https://colab.research.google.com/drive/1NFxjNI-UIR7Ku0KERmv7Yb_586vHQW43?usp=sharing
- Lesson 7.5 - We had a less formal stream chatting about a few new papers and looking at an experiment with CLOOB Conditioned Latent Denoising Diffusion GANs. Stream recording: https://youtu.be/OBrlYBP4GZA
- Lesson 8 - Neural Cellular Automata: https://colab.research.google.com/drive/1Qpx_4wWXoiwTRTCAP1ohpoPGwDIrp9z-?usp=sharing
Feel free to reach out to me @johnowhitaker on Twitter with feedback, questions or requests. And come join our discord to share your work and chat with others doing similar projects: https://discord.gg/vSjhr8xb4g. The Discord is the best way to hear about upcoming lessons and livestreams.
All code and content in this repo is released under the MIT licence.