YAMLE: Yet Another Machine Learning Environment

• URL: http://arxiv.org/abs/2402.06268v1
• Date: Fri, 9 Feb 2024 09:34:36 GMT
• Title: YAMLE: Yet Another Machine Learning Environment
• Authors: Martin Ferianc, Miguel Rodrigues
• Abstract summary: YAMLE is an open-source framework that facilitates rapid prototyping and experimentation with machine learning (ML) models and methods. YAMLE includes a command-line interface and integrations with popular and well-maintained PyTorch-based libraries. The ambition for YAMLE is to grow into a shared ecosystem where researchers and practitioners can quickly build on and compare existing implementations.
• Score: 4.985768723667417
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: YAMLE: Yet Another Machine Learning Environment is an open-source framework that facilitates rapid prototyping and experimentation with machine learning (ML) models and methods. The key motivation is to reduce repetitive work when implementing new approaches and improve reproducibility in ML research. YAMLE includes a command-line interface and integrations with popular and well-maintained PyTorch-based libraries to streamline training, hyperparameter optimisation, and logging. The ambition for YAMLE is to grow into a shared ecosystem where researchers and practitioners can quickly build on and compare existing implementations. Find it at: https://github.com/martinferianc/yamle.

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