Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnosis problem.
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Nov 21, 2024 - Python
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model-agnostic-meta-learning
Here are 8 public repositories matching this topic...
Model-Agnostic Meta-Learning in PyTorch
deep-learning pytorch transfer-learning maml meta-learning few-shot-learning model-agnostic-meta-learning maml-algorithm
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Jul 31, 2020 - Jupyter Notebook
Using LIME (Local Interpretable Model-Agnostic Explanations) for text data
text-classification text-analysis classification text-processing lime interpretability understanding model-agnostic-meta-learning
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Jun 17, 2018 - Jupyter Notebook
An implementation of Model Agnostic Meta Learning (MAML) for few shot supervised image classification.
maml meta-learning few-shot-learning model-agnostic-meta-learning omniglot-dataset supervised-image-classification
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Jul 17, 2023 - Jupyter Notebook
This repository stores scripts used to run COMASure and its extensions. The models are studied as part of the requirements for the MSc Data Science and Machine Learning dissertation at UCL.
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Sep 6, 2021 - Jupyter Notebook
The code for magnification generalization for the histopathology image embedding
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Feb 24, 2021 - Python
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
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Apr 10, 2018 - Python
Code for the project "Exploring transferability and model agnostic meta learning across NLP Tasks". CS330 Deep Multi-Task and Meta Learning, Stanford University.
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Feb 16, 2023 - Jupyter Notebook
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