Researchers from the European OPTIMA consortium have presented computational workflows integrating clinical records, genomic ...

Moving away from trivial gossip, let's organize the practical facts of AlphaFold's achievements as science. Google simply borrowed a perfect puzzle that happened to be lying around. The AlphaFold lab ...

Classifying severity of 273,000 road accidents in Germany (2025) with Scikit-Learn — imbalanced data, precision/recall, threshold selection, multiclass & multilabel - ...

Fabric Runtime 2.0 is the latest generally available (GA) and default runtime for Apache Spark workloads in Microsoft Fabric. It updates the operating system, Java, Scala, Python, R, Apache Spark, and ...

This repository contains a comprehensive analysis of binary classification using logistic regression. The notebook explores key aspects of logistic regression, from data exploration and preparation to ...

TRL supports the Direct Preference Optimization (DPO) Trainer for training language models, as described in the paper Direct Preference Optimization: Your Language Model is Secretly a Reward Model by ...

Inference is the process of using a trained model to make predictions on new data. Because this process can be compute-intensive, running on a dedicated or external service can be an interesting ...