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Joseph [open/acc] Pollack PRO
Tonic
AI & ML interests
🤖Making robots to help people learn things quicker 👩🏻🚀🚀
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posted an update 1 day ago
🙋🏻♂️ Hey there folks ,
Turns out : if we predict 🌏 earth we can save a lot of time looking for interesting things and less time looking at things that we expect to see.
Sentinel-2 imagery 🛰️basically takes a long time to download towards earth. so our "near real time" systems are quite far from that in practical terms.
meanwhile , if we "predict" what we will see , based on what we do see , we can send down much less data in a timely way , and prioritize 📡earth-bound response .
I'm talking about illegal fishing , logging , mining or building in nature reserves , the more of that we predict early the more we're able to stop it on time.
At least that's the concept !
check out the blog : https://huggingface.co/blog/Tonic/save-patagonia-by-predicting-earth
- Collection: https://huggingface.co/collections/NuTonic/earth-observation-with-temporal-and-general-understanding
- Code: https://github.com/Josephrp/Nutonic
- Dataset: https://huggingface.co/datasets/NuTonic/sat-vl-sft-training-ready-v1
- Model: https://huggingface.co/NuTonic/lspace
- Training: https://huggingface.co/spaces/NuTonic/lspace-trackio
- Evals: https://huggingface.co/datasets/NuTonic/Patagonia_Eval reacted to danielhanchen's post with ❤️ 1 day ago
We’re excited to announce that Unsloth has joined the PyTorch Ecosystem! 🔥🦥
Unsloth is an open-source project that makes training & running models more accurate and faster with less compute. Our mission is to make local AI accessible to everyone. Thanks to all of you for making this possible! 💕
Blog: https://unsloth.ai/blog/pytorch
GitHub: https://github.com/unslothai/unsloth reacted to unmodeled-tyler's post with 👀 1 day ago
The UFO/UAP Dataset is complete!
https://huggingface.co/datasets/unmodeled-tyler/DoW-UFO-UAP-1
The most recent release from the Department of War is there up in full and ready for analysis!
The dataset ships with an Hermes Agent Skill so you can quickly and easily start parsing through the data immediately.
Go chase some anomalies! 🚀
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