awesome-ai-papers
course22p2
| awesome-ai-papers | course22p2 | |
|---|---|---|
| 5 | 6 | |
| 534 | 433 | |
| - | 3.0% | |
| 8.7 | 0.0 | |
| about 1 month ago | 23 days ago | |
| Jupyter Notebook | ||
| - | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-ai-papers
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Ask HN: Daily practices for building AI/ML skills?
Try the "historical papers" on this repo: https://github.com/aimerou/awesome-ai-papers
- Is there an up-to-date list of current AI models?
- A curated list of top AI research papers
- [P] A curated list of top AI research papers
course22p2
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Ask HN: Daily practices for building AI/ML skills?
Practical Deep Learning for Coders: https://course.fast.ai/Lessons/part2.html
- Stanford A.I. Courses
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A quick visual guide to what's actually happening when you generate an image with Stable Diffusion
To me the most important bit is that the diffusion loop turns a noisy latent into an image, does that iteratively, and uses "guidance" in the form of a prompt/controlnet image/etc to do it. The scheduler part, I felt, was needlessly complex for this short explainer, so I hand-wave it away. IF someone wants to dive in deeper, much deeper, they can go through the same thing I'm doing, which is this: https://course.fast.ai/Lessons/part2.html
- Practical Deep Learning for Coders - Part 2 overview
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Courses for an AI beginner
They also recently released a course for more experienced students where they teach you to implement the Stable Diffusion algorithm from scratch.
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From Deep Learning Foundations to Stable Diffusion (Part 2)
The full transcripts are available here in plain text form:
https://github.com/fastai/course22p2/tree/master/summaries
What are some alternatives?
top-10-cv-papers-2021 - A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
developer - the first library to let you embed a developer agent in your own app!
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
playground - Play with neural networks!
latentblending - Create butter-smooth transitions between prompts, powered by stable diffusion
machine-learning-specialization-andrew-ng - A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
StableDiffusion-By-Parts - Slice and dice the Stable Diffusion pipeline, saving to a TIFF file in between sections.
simonwillisonblog - The source code behind my blog