TorchEnsemble-Community/Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
This tool helps deep learning practitioners improve the reliability and accuracy of their PyTorch models by combining multiple models into a single, more powerful 'ensemble'. You input your existing PyTorch model and training data, and it outputs a more robust ensemble model that performs better on classification and regression tasks. Data scientists, machine learning engineers, and researchers who build and deploy deep learning solutions will find this useful.
1,044 stars. No commits in the last 6 months.
Use this if you need to boost the performance and ensure the stability of your deep learning models for classification or regression problems.
Not ideal if you are not using PyTorch for your deep learning models or if your primary goal is interpretability rather than raw performance.
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Language
Python
License
BSD-3-Clause
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Last pushed
Jun 16, 2024
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