GitHub

A Fast Library for Automated Machine Learning & Tuning

🔥 FLAML supports AutoML and Hyperparameter Tuning in Microsoft Fabric Data Science. In addition, we've introduced Python 3.11 support, along with a range of new estimators, and comprehensive ...
IEEE

Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

Abstract: While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, a recent trend in AutoML is to focus on neural architecture search. In this paper, we ...
IEEE

Deploying Oracle Machine Learning AutoML Models for Oracle APEX Analytics

Abstract: Oracle Application Express (APEX) is a powerful, low-code development platform that enables the rapid creation of scalable and secure enterprise applications. Integrating seamlessly with ...
IGN

The Best Puzzle Tables and Boards for the Ultimate Puzzle Station

As avid puzzlers know full well, the humble jigsaw puzzle is a thing of beauty in multiple ways. Not only are jigsaws an absorbing time sink, but multiple studies have demonstrated they are good for ...
GitHub

Learning Synthetic Environments and Reward Networks for Reinforcement Learning

We explore meta-learning agent-agnostic neural Synthetic Environments (SEs) and Reward Networks (RNs) for efficiently training Reinforcement Learning (RL) agents. While an SE acts as a full proxy to a ...