Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
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Sep 19, 2021 - Jupyter Notebook
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Few-shot classification in Named Entity Recognition Task
A few shot learning repository for bearing fault diagnosis.
Few-Shot Keyword Spotting
Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0
A novel method for few shot learning
This repo contains the implementation of some new papers on some advanced topics of machine learning e.g. meta-learning, reinforcement-learning, meta-reinforcement-learning, continual-learning and etc.
(Using) Prototypical Networks as a Fine Grained Classifier
Deepest Season 6 Meta-Learning study papers plus alpha
Official code of the CVPR 2022 paper "Proto2Proto: Can you recognize the car, the way I do?"
PyTorch implementation for "ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback" (https://arxiv.org/abs/2107.14035).
Code containing implementation of prototypical networks paper with a few tweaks
Official repository for the paper "ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography" in MICCAI 2023 Conference
Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.
Official Implementation of "SPN: Stable Prototypical Network for Few-Shot Learning-Based Hyperspectral Image Classification" (GRSL22)
GUI based tool to train and develop Few Shot Classification ML model.
Meta Learning implementations via PyTorch (without any other frameworks)
We explore different techniques to perform few-shot-classification of fashion images.
The code for "Efficient-PrototypicalNet with self knowledge distillation for few-shot learning"
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