Dementia Prediction by Khalil El Asmar, Fatima Abu Salem, Hiyam Ghannam, Roaa Al-Feel
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Updated
Jan 3, 2022 - Jupyter Notebook
Dementia Prediction by Khalil El Asmar, Fatima Abu Salem, Hiyam Ghannam, Roaa Al-Feel
XCS224U - Winter 2021 - Syed/Aiswarya - Intent Classification - Few Shot - Code and Dataset
Miniproject 10: Meta-Learning with Reptile in the Cognitive Robotics lecture at Universität Bielefeld
Batch-aware online task creation for meta-learning.
An implementation of Model Agnostic Meta Learning (MAML) algorithm using pytorch
Non-Euclidean implementations for few-shot image classification on the mini-ImageNet dataset
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
PyTorch implementation of Model Agnostic Meta Learning (MAML)
This is pedagogical implementation of MAML Algorithm.
Image classification with very few data sample (n=25 per class)
Implementation of Meta Learning Methods via Torchmeta framework
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Very simple MAML-like metalearning baseline
An example policy structure to be used for testing Role-Based Access Controls and policy as code within CyberArk Conjur for demonstrations and proof of concepts.
The code for magnification generalization for the histopathology image embedding
Human Sperm Abnormality Detection using MAML approach
Meta-learning For Efficient Few-shot Classification in Facial Liveness Detection
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