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Guy G's avatar
Guy G
Oregon, USA
40+ years programming experience including recent AI and ML.
New to Contra
Cover image for Further investigations of the Biology Latent Space.
Further investigations of the Biology Latent Space.
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Cover image for Another fun and useful project from 2024. I did this work fo...
Another fun and useful project from 2024. I did this work for a nice gentleman named Andy Walters. He was looking to automatically split videos along the natural pause boundaries between sentences. So I wrote up this neat little script that uses the Whisper-Timestamp model and library to find those boundaries and split the video on them so that no words get chopped in mid-utterance. The company Andy was working for didn't make their next round of funding. Before we mothballed the whole thing Andy gave me permission to open source the code. I realized too late, with just one more pass through an LLM you could have the json splitter file that was generated rearranged to split by subject. If I had the time I would include that feature but until then it is still useful like it is. https://github.com/TheOneTrueGuy/G_video_clipper
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Cover image for Last year, when I had a lot more time, I had a lot of fun co...
Last year, when I had a lot more time, I had a lot of fun converting biology journal entries into visualizations using stable diffusion image generation. This one turned out particularly good. I don't know if it works like I thought it might but being able to see the descriptions of biological processes seemed like an interesting way to possibly learn about biology. I did something similar with Physics Review Letters A through G and will try to get around to sharing some of those too. I even have one called "Odd Proton" that is focused on fusion processes.
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Cover image for Language models provide some spectacular new opportunities f...
Language models provide some spectacular new opportunities for discovery. While working on some ideas it occurred to me to explore the relationships between concepts spatially. Interpolating across the latent space between concepts and then mapping to a vectors nearest token predicate. I arranged this formulation as a form of tessellation to cover the n-dimensional volume efficiently. The result is a work-in-progress I call the Tessellator. Since this is an experiment it just made sense to open source it and a new update is due in the next week or two. https://github.com/TheOneTrueGuy/tessellator
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