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37 public repositories
matching this topic...
Repository for few-shot learning machine learning projects
Updated
Nov 25, 2019
Python
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Updated
Jan 28, 2021
Python
Implementation of Siamese Neural Networks for One-shot Image Recognition
Updated
Mar 8, 2019
Python
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
Updated
Oct 19, 2017
Python
Solutions to tasks in over 700 programming languages
Updated
Jan 20, 2022
HTML
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Updated
Feb 9, 2018
Jupyter Notebook
Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset
Updated
Mar 20, 2020
Jupyter Notebook
Multi-task learning for image classification implemented in PyTorch.
Updated
Oct 8, 2018
Python
Cluttered Omniglot dataset and models
Updated
May 3, 2019
Python
Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0
Updated
Apr 9, 2019
Python
Implementation of Siamese-Networks for One Shot Learning in TensorFlow 2.0
Updated
Apr 19, 2019
Python
Updated
Apr 21, 2021
Jupyter Notebook
a deep recurrent model for exchangeable data
Updated
Jul 1, 2020
Python
Implementation of Matching Networks for One Shot Learning in TensorFlow 2.0
Updated
Apr 13, 2019
Python
This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.
Updated
Nov 3, 2017
Python
One Shot Learning Implementation
Updated
Jul 27, 2020
Jupyter Notebook
Implementation of Siamese Networks using PyTorch
Updated
May 25, 2018
Python
Example of one shot learning and few shot learning with omniglot dataset.
Updated
Apr 19, 2021
Python
Implementation of Variational Memory Addressing for generative few-shot learning in PyTorch
Updated
Mar 20, 2021
Python
Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.
Updated
Dec 9, 2021
Python
Fine Tuning for Image Recognition with a model trained with Reptile
Updated
Nov 17, 2019
Jupyter Notebook
Implementation of "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Updated
Mar 29, 2018
Python
This repo contains the code for Oneshot Learning on Omiglot dataset Using Siamese Network.
Updated
Oct 30, 2020
Jupyter Notebook
Teaching machines in comparably few shots.
Updated
Jul 15, 2020
Jupyter Notebook
A Rust implementation of Siamese Neural Networks for One-shot Image Recognition for benchmarking performance and results.
A ready to go implementation of the "Siamese Neural Networks for One-shot Image Recognition" paper in PyTorch on Google Colab with training and testing on the Omniglot/custom datasets.
Updated
Feb 22, 2021
Jupyter Notebook
Implementation for paper "BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing"
Updated
Jan 12, 2022
Python
a deep dive into one-shot learning with omniglot and siamese networks
Updated
Jun 24, 2021
Jupyter Notebook
Secure ML (Trash Bucket Problem, One-shot Learning, and Subpopulation Attack): Repo for ISM at Ashoka
Updated
Jun 27, 2022
Jupyter Notebook
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Preprocess, augment, and save the following datasets.
images_background_small1images_background_small2images_backgroundimages_evalution