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Work · September 3, 2022

HP

Hurricane Path Prediction Using LSTM

College project I picked back up and improved. Implementation in PyTorch, better results than NHC models as reported at : https://www.nhc.noaa.gov/verification/verify8.shtml

Does the same job

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  • Weather Lab2025 · ▲177

    Predicting cyclone paths & intensity 15 days ahead

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    Making pro weather data free for Hurricane Dorian2019 · ▲73

    I have added OpenZones to Flowx, my Android weather app[0]. OpenZones are regions covering disaster zones where all the pro data in the app is freely available. I have created an 1200km diameter OpenZone over Florida with Hurricane Dorian approaching. So if you add Florida to the app, you can view radar, NOAA's GFS, NAM and HRRR models, CMC GDPS and RDPS models, and the DWD (Germany) ICON model. There are also predicted hurricane tracks from the NOAA and CMC ensemble models which I find extremely valuable to predict the possible paths of Dorian. This YouTube video[1] shows an example of the…

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    Flow Matching model inference in CJul 2026 · github.com · ▲5

    As the title and description of the GitHub repo suggest, I’m working on a small project for purely educational purposes, with the goal of implementing generative model inference (small models capable of modeling 2D distributions) based on the Flow Matching paradigm in C. I’ve worked on generative AI models based on Flow Matching from a more “abstract” perspective, using frameworks like PyTorch, and I wanted to understand what goes on behind the scenes. The repository is still a work in progress and is also one of my first "serious" projects in C.

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