UnstableFusion
pml-book
UnstableFusion | pml-book | |
---|---|---|
10 | 9 | |
1,232 | 4,699 | |
- | 0.8% | |
0.0 | 3.9 | |
about 1 year ago | 9 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | MIT License |
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UnstableFusion
- Sunt AI Research Scientist, AMA
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Show HN: InvokeAI, an open source Stable Diffusion toolkit and WebUI
Shameless plug: I was frustrated with the poor UI of notebook-based frontends so I wrote a desktop version here: https://github.com/ahrm/UnstableFusion .
Here is a video of some of its features: https://www.youtube.com/watch?v=XLOhizAnSfQ&t=1s
- Instead of a boring text, now you can add external image on top of the generated image and make it natural
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Use advanced inpainting to control the inpainting results (github link in comments)
Added advanced inpainting functionality to UnstableFusion, you can find the project here: https://github.com/ahrm/UnstableFusion
- Stable diffusion desktop frontend with integrated inpainting, img2img, undo and more
- I have a problem — I keep making new GUIs for Stable Diffusion 😛
- GitHub - ahrm/UnstableFusion: A Stable Diffusion desktop frontend with inpainting, img2img and more!
- UnstableFusion - A stable diffusion frontend with inpainting, img2img, and more
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UnstableFusion - A stable diffusion frontend with inpainting, img2img, and more. Link to the github page in the comments
Github page: https://github.com/ahrm/UnstableFusion
- Show HN: A Stable Diffusion desktop front end with inpainting, img2img and more
pml-book
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Sunt AI Research Scientist, AMA
Una cunoscuta pe 'reinforced learning': https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf Doua foarte recente: https://github.com/probml/pml-book/releases/tag/2022-08-08 https://github.com/probml/pml2-book/releases/tag/2022-12-24
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Hi, what are the advanced courses/books in machine learning and neural nets? And where do I find them?
Kevin Murphy - Probabilistic Machine Learning
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Mitchell's Machine Learning book now is free
I don't know about this book, but there are August 2022 PDFs of "Probabilistic Machine Learning : An Introduction" and "Probabilistic Machine Learning : Advanced Topics" by Kevin Murphy available here: https://github.com/probml/pml-book
Is that recent enough?
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How can I learn Probability and Statistics theory so that I can read ML papers?
Check these out: https://github.com/probml/pml-book
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[Q] Is there a statistics 'bible'?
Diff from 2012 book, directly from the books website
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“Probabilistic Machine Learning” – A Book Series by Kevin Murphy
"This version is being sent to MIT Press, and will appear in hard copy late 2021/ early 2022."
https://github.com/probml/pml-book/releases/tag/camera
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[R] The Modern Mathematics of Deep Learning
If you want to have better interactions with the readers, then you can consider creating a GitHub repository for the book (e.g., https://github.com/probml/pml-book and https://github.com/mml-book/mml-book.github.io).
What are some alternatives?
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
numerical-linear-algebra - Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
stable_diffusion.openvino
mml-book
perceiver-pytorch - Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
diffusion-models-class - Materials for the Hugging Face Diffusion Models Course
tutorials - AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
ai-notes - notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.
pml2-book - Probabilistic Machine Learning: Advanced Topics
rocm-build - build scripts for ROCm
diffusion-ui - Frontend for deeplearning Image generation