The Lancet

Familial confounding and causal inference in child and adolescent neurodevelopment and mental health

Recent announcements by the US Government linking paracetamol use during pregnancy to autism in offspring highlight the risks of misinterpreting observational research to inform policy; this is a ...
IEEE

Network Deconvolution for Causal Inference in Production Flows

Abstract: This thesis introduces a methodology based on network deconvolution to uncover causal relationships within production systems. The approach separates direct and indirect effects to ...
GitHub

Missing official FastAPI-based lightweight REST inference example for OpenVINO Python API

OpenVINO provides powerful Python APIs for model conversion and inference, as well as OpenVINO Model Server (OVMS) for production deployments. However, there is currently no official lightweight REST ...
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, ...
IEEE

The Causal Inference of Bayesian Network Based on Improved IDA Algorithm

Abstract: At present, the IDA algorithm is a commonly used method for estimating causal effects between variables from observational data. In the IDA algorithm, the PC algorithm is first used to ...