rainbringer2000

7 ms·

1.
by rainbringer2000 4y ago
This link opens a Dreambooth training & inference notebook in an A6000 machine Check out the full guide here: blog.paperspace.com/dreambooth-stable-diffusion-tutorial-1/
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PyTorch Lightning on Paperspace(blog.paperspace.com)
1 points by rainbringer2000 4y ago|0 comments
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by rainbringer2000 4y ago
After seeing the video of the fellow in the base jumping incident last week, this feels extra poignant. Glad this guy survived to talk about it.
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Generate automatic, translated captions for any video with Whisper AutoCaption(github.com)
2 points by rainbringer2000 4y ago|1 comments
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by rainbringer2000 4y ago
This repo has all the code for the project, which is based on Whisper and MoviePy. It has a version that can run in an IPython Notebook, and I have also released an application version compatible with Gradient Deployments. This was only my
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by rainbringer2000 4y ago
It will be fascinating to see what other objects hubble captured over the years look like in higher definition
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by rainbringer2000 4y ago
In this tutorial, i walk through how Whisper can be used with MoviePy to automatically generate and overlay translated subtitles from any video sample. Be sure to check out the Github repo as well, linked at the bottom. This project was bas
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by rainbringer2000 4y ago
The intersection of architecture and 3d design with ML is an intersect I haven't seen much work in, but it would be fascinating to see what comes from this
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by rainbringer2000 4y ago
Damn that's impressive. Its hard to imagine being up that high
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by rainbringer2000 4y ago
In our newest article, we discuss autoencoders and convolutional autoencoders in the context of image data. We then show how to write custom autoencoders of our own with PyTorch, train them, and view our results in a Gradient Notebook.
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by rainbringer2000 4y ago
I'm all here for the roll out of a more positive outlook towards the impending climate hell as we try to fix it before the storm is too big.
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by rainbringer2000 4y ago
production code + keys = no bueno. I feel for them.