XDA Developers on MSN

Local AI isn't just Ollama—here's the ecosystem that actually makes it useful

The right stack around Ollama is what made local AI click for me.

Popular LiteLLM PyPI package backdoored to steal credentials, auth tokens

The TeamPCP hacking group continues its supply-chain rampage, now compromising the massively popular "LiteLLM" Python package ...
IEEE

Computational Guidance Using Model Predictive Static Programming for Challenging Space Missions: An Introductory Tutorial with Example Scenarios

Abstract: Several essential services, such as cellular phones, the Internet, television, navigation, weather prediction, and remote sensing, rely on satellites in low-Earth orbits, the technology for ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...
GitHub

Computational Methods for Economists using Python, by Richard W. Evans

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...