This repository provides code and tutorials to help participants get started with developing dose prediction models for the GDP-HMM Challenge at AAPM 2025. 🎉 [06/10/2025] The top six solutions have ...

A hands-on learning project for LLM fine-tuning. 7 modules covering the full pipeline: data processing, SFT training, inference comparison, and ablation experiments. For people with Python and PyTorch ...

Abstract: Deep-learning (DL) algorithms, which learn the representative and discriminative features in a hierarchical manner from the data, have recently become a hotspot in the machine-learning area ...

TorchGeo is a Python package for integrating geospatial data into the PyTorch deep learning ecosystem, making it easy for machine learning and remote sensing experts to use geospatial data in their ...

But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn't in the LLM.

The International Conference on Theory and Applications of Satisfiability Testing (SAT) is the premier annual meeting for researchers focusing on the theory and applications of the propositional ...

AI tools are the latest craze to impact the tech industry — and by extension, the rest of the world. For years now, bosses everywhere are trying to boost profits by replacing workers with AI, and ...

Link to tutorial on Github: https://github.com/hydroclimali/XEE_tutorial/blob/main/xee_demo.ipynb I've been working with geospatial datasets for 13+ years now (since ...