Model-Agnostic Meta-Learning in PyTorch
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Updated
Jul 31, 2020 - Jupyter Notebook
Model-Agnostic Meta-Learning in PyTorch
Project for Deep Learning And Applied AI course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022
Clean implementation of "Model-Agnostic Meta-Learning" in PyTorch using Facebook's Higher.
Fake News detection based on the FA-KES dataset
Model Agnostic Meta Learning in TensorFlow 2.1
Determine feasible grasp positions and orientations using a spherically transformed dataset.
MAML model finished by Tensorflow 2.2
Higher-order gradients in PyTorch, Parallelized
Deep Learning Midterm Project
This is pedagogical implementation of MAML Algorithm.
An implementation of Model Agnostic Meta Learning (MAML) algorithm using pytorch
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