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Topic: "omniglot"

oscarknagg/few-shot

Repository for few-shot learning machine learning projects

Language: Python - Size: 16.1 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 1,249 - Forks: 249

jakesnell/prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Language: Python - Size: 201 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 1,168 - Forks: 266

tensorfreitas/Siamese-Networks-for-One-Shot-Learning 📦

Implementation of Siamese Neural Networks for One-shot Image Recognition

Language: Python - Size: 8.83 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 556 - Forks: 177

gitabcworld/MatchingNetworks

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

Language: Python - Size: 3.37 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 314 - Forks: 83

ad-si/RosettaGit

Solutions to tasks in over 700 programming languages

Language: HTML - Size: 65.7 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 202 - Forks: 12

abdulfatir/prototypical-networks-tensorflow

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Language: Jupyter Notebook - Size: 191 KB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 134 - Forks: 45

hlamba28/One-Shot-Learning-with-Siamese-Networks

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

Language: Jupyter Notebook - Size: 76.2 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 133 - Forks: 111

wchliao/multi-task-image-classification

Multi-task learning for image classification implemented in PyTorch.

Language: Python - Size: 36.1 KB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 98 - Forks: 28

schatty/prototypical-networks-tf

Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0

Language: Python - Size: 906 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 53 - Forks: 18

michaelisc/cluttered-omniglot

Cluttered Omniglot dataset and models

Language: Python - Size: 54.8 MB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 47 - Forks: 11

DataLoaderX/datasetsome

一些数据集处理相关的 API

Language: Jupyter Notebook - Size: 705 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 43 - Forks: 10

schatty/siamese-networks-tf

Implementation of Siamese-Networks for One Shot Learning in TensorFlow 2.0

Language: Python - Size: 54.7 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 40 - Forks: 13

IraKorshunova/bruno

a deep recurrent model for exchangeable data

Language: Python - Size: 184 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 34 - Forks: 7

asagar60/Siamese-Neural-Networks-for-One-shot-Image-Recognition

One Shot Learning Implementation

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 26 - Forks: 7

schatty/matching-networks-tf

Implementation of Matching Networks for One Shot Learning in TensorFlow 2.0

Language: Python - Size: 545 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 25 - Forks: 2

SoongE/siamese-one-shot-pytorch

Example of one shot learning and few shot learning with omniglot dataset.

Language: Python - Size: 6.84 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 23 - Forks: 4

hiwonjoon/maml-tensorflow

This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.

Language: Python - Size: 531 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 16 - Forks: 10

fork123aniket/Visual-Contrastive-Learning-for-Few-shot-Image-Classification

Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch

Language: Python - Size: 200 KB - Last synced at: 14 days ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 0

matbambbang/siamese-networks-omniglot-pytorch

Implementation of Siamese Networks using PyTorch

Language: Python - Size: 9.77 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 11 - Forks: 4

giovcandido/prototypical-networks

Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.

Language: Python - Size: 1.71 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 4

ya0002/Colab-Siamese_Neural_Nets_for_One-shot_Image_Recognition

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.

Language: Jupyter Notebook - Size: 657 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 4

rlin27/BATMANN

Implementation for paper "BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing"

Language: Python - Size: 54.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0

artemZholus/variational_memory_addressing

Implementation of Variational Memory Addressing for generative few-shot learning in PyTorch

Language: Python - Size: 425 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0

martinkersner/maml

Implementation of "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Language: Python - Size: 32.2 KB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 3

ShreyPandit/One-Shot-Learning-using-Siamese-Network

This repo contains the code for Oneshot Learning on Omiglot dataset Using Siamese Network.

Language: Jupyter Notebook - Size: 80.1 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

Bisonai/1-shot-classification-with-reptile

Fine Tuning for Image Recognition with a model trained with Reptile

Language: Jupyter Notebook - Size: 2.11 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1

kubershahi/ashoka-secureml

Secure ML (Trash Bucket Problem, One-shot Learning, and Subpopulation Attack): Repo for ISM at Ashoka

Language: Jupyter Notebook - Size: 381 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

siddarth-c/Black-Box-Meta-Learning

Memory Augmented Neural Networks, a Black-Box Meta-Learner that uses an LSTMs for few-shot classification

Language: Python - Size: 248 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

UTMIST/oneshot-rs 📦

A Rust implementation of Siamese Neural Networks for One-shot Image Recognition for benchmarking performance and results.

Language: Rust - Size: 737 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

SomTambe/omniglot-bcs

Teaching machines in comparably few shots.

Language: Jupyter Notebook - Size: 88.5 MB - Last synced at: 21 days ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

istresec/kth-aml-project

Reimplementation of "VAE with a VampPrior" by Jakub M. Tomczak et al., as part of the DD2434 Machine Learning, Advanced Course at KTH

Language: Python - Size: 44.4 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

mynameisvinn/ml-papers

a deep dive into one-shot learning with omniglot and siamese networks

Language: Jupyter Notebook - Size: 8.02 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

UTMIST/oneshot-data 📦

The collection of raw and generated (with transformations) images from the original Omniglot Dataset.

Language: Python - Size: 12.6 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

nickvdw/one-shot-learning-triplet-network

Performing one-shot learning using a triplet network with different triplet selection methods (random and hard).

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

bkj/ezml

Very simple MAML-like metalearning baseline

Language: Julia - Size: 2 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

ahmedsaidmoh/One-Shot

Explore moral choices in **One Shot**, a minimalist interactive narrative game. Face uncertainty as you interrogate a suspect in a gripping web experience. 🌐🎮

Language: JavaScript - Size: 7.81 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

reshalfahsi/few-shot-learning-reptile

Few-shot Learning with Reptile

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

egemengulpinar/Image-Super-Resolution-SRCNN

Image super resolution using with Deep Convolutional Neural Networks

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

ayaz-amin/probabilistic_programming_stuff_2

Probabilistic programming stuff 2

Language: Python - Size: 232 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

mervess/oneshot-to-siamese-networks Fork of sorenbouma/keras-oneshot

Implementation of "Siamese neural networks for one-shot image recognition" via Keras 2.3.1 and TensorFlow backend.

Language: Jupyter Notebook - Size: 6.43 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

Related Topics
one-shot-learning 15 few-shot-learning 14 pytorch 11 siamese-network 8 machine-learning 7 meta-learning 7 deep-learning 6 miniimagenet 4 tensorflow 4 maml 3 few-shot 2 reptile 2 nips-2017 2 convolutional-neural-networks 2 mnist 2 vae 2 prototypical-networks 2 siamese-neural-network 2 keras-tensorflow 2 oneshotlearning 2 metalearning 2 one-shot 2 ml 2 metric-learning 1 triplet-loss 1 triplet-network 1 tensorflow2 1 research 1 probabilistic-programming 1 generative-model 1 mann 1 fsl 1 binary 1 vampprior 1 caltech101 1 keras 1 recurrent-neural-networks 1 gans 1 bayesian-inference 1 pytorch-lightning 1 few-shot-recognition 1 one-shot-segmentation 1 clutter 1 programming-languages 1 polyglot 1 hacktoberfest 1 comparison 1 chrestomathy 1 torchvision 1 few-shot-classifcation 1 contrastive-learning 1 conputer-vision 1 multi-task-learning 1 cifar10 1 cifar-100 1 ipython-notebook 1 cognitive-science 1 transfer-learning 1 pytorch-implementation 1 python3 1 mini-imagenet 1 faceswap 1 create-react-app 1 anime 1 ai 1 oneshot-learning 1 fewshot-learning 1 subpopulation-data-poisoning-attack 1 dog-vs-cat 1 credit-risk 1 cnn-keras 1 fine-tuning 1 classification 1 1-shot-classification 1 python-casia 1 dataset-loader 1 dataset 1 coco 1 api 1 jupyter-notebook 1 rust 1 real-nvp 1 gaussian-processes 1 exchangeable-structures 1 deep-neural-networks 1 networks 1 matching 1 matching-networks 1 super-resolution 1 srcnn 1 image-upscaling 1 image-processing 1 siamese 1 python 1 tts 1 style-transfer 1 one-shot-object-detection 1 object-detection 1 neural-turing-machines 1 image-translation 1