Model-Agnostic Meta-Learning in PyTorch
Proximal Policy Optimization with Model-Agnostic Meta-Learning for Battery Energy Storage System Management in a Multi-Microgrid
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
Determine feasible grasp positions and orientations using a spherically transformed dataset.
Model Agnostic Meta Learning in TensorFlow 2.1
MAML model finished by Tensorflow 2.2
Higher-order gradients in PyTorch, Parallelized
Deep Learning Midterm Project
A CNN-based MAML retains the standard principles of Model-Agnostic Meta-Learning (MAML) but integrates convolutional neural networks (CNNs) as the base architecture for feature extraction and adaptation.
An implementation of Model Agnostic Meta Learning (MAML) algorithm using pytorch
This is pedagogical implementation of MAML Algorithm.
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