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
Proximal Policy Optimization with Model-Agnostic Meta-Learning for Battery Energy Storage System Management in a Multi-Microgrid
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
An implementation of Model Agnostic Meta Learning (MAML) algorithm using pytorch
This is pedagogical implementation of MAML Algorithm.
Deep Learning Midterm Project
Higher-order gradients in PyTorch, Parallelized
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