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.
Model Agnostic Meta Learning in TensorFlow 2.1
Determine feasible grasp positions and orientations using a spherically transformed dataset.
Fake News detection based on the FA-KES dataset
Proximal Policy Optimization with Model-Agnostic Meta-Learning for Battery Energy Storage System Management in a Multi-Microgrid
MAML model finished by Tensorflow 2.2
Deep Learning Midterm Project
Higher-order gradients in PyTorch, Parallelized
An implementation of Model Agnostic Meta Learning (MAML) algorithm using pytorch
This is pedagogical implementation of MAML Algorithm.
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