Alternatives and similar repositories for matching-networks-pytorch:

Users that are interested in matching-networks-pytorch are comparing it to the libraries listed below

• gitabcworld / MatchingNetworks
  This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…
  ☆336Updated 11 months ago
• gitabcworld / FewShotLearning
  Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
  ☆254Updated 7 years ago
• AntreasAntoniou / MatchingNetworks
  An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf
  ☆328Updated 6 years ago
• lzrobots / DeepEmbeddingModel_ZSL
  Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
  ☆180Updated 5 years ago
• dragen1860 / LearningToCompare-Pytorch
  Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
  ☆250Updated 7 years ago
• yinboc / prototypical-network-pytorch
  A re-implementation of "Prototypical Networks for Few-shot Learning"
  ☆314Updated 4 years ago
• abdulfatir / prototypical-networks-tensorflow
  Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
  ☆132Updated 7 years ago
• renmengye / few-shot-ssl-public
  Meta Learning for Semi-Supervised Few-Shot Classification
  ☆556Updated 5 years ago
• lzrobots / LearningToCompare_ZSL
  PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)
  ☆264Updated 6 years ago
• Clarifai / few-shot-ctm
  Few shot learning
  ☆155Updated 3 years ago
• facebookresearch / low-shot-shrink-hallucinate
  Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features
  ☆308Updated 3 years ago
• csyanbin / TPN
  Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆242Updated 5 years ago
• gidariss / FewShotWithoutForgetting
  ☆521Updated 3 years ago
• kjunelee / MetaOptNet
  Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
  ☆531Updated 6 months ago
• e-271 / awesome-few-shot-learning
  A curated list of resources about few-shot and one-shot learning
  ☆282Updated 5 years ago
• Sha-Lab / FEAT
  The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
  ☆423Updated 4 years ago
• markdtw / matching-networks
  Matching Networks for one-shot learning in tensorflow (NIPS'16)
  ☆56Updated 6 years ago
• tankche1 / Semantic-Feature-Augmentation-in-Few-shot-Learning
  Semantic Feature Augmentation in Few-shot Learning
  ☆88Updated 5 years ago
• vgsatorras / few-shot-gnn
  ☆573Updated last year
• blue-blue272 / fewshot-CAN
  Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).
  ☆212Updated 4 years ago
• hytseng0509 / CrossDomainFewShot
  Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
  ☆335Updated 4 years ago
• csyanbin / TPN-pytorch
  Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆176Updated 3 years ago
• ylsung / gnn_few_shot_cifar100
  This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
  ☆86Updated 6 years ago
• xinzheli1217 / learning-to-self-train
  Learning to Self-Train for Semi-Supervised Few-Shot
  ☆93Updated 2 years ago
• floodsung / LearningToCompare_FSL
  PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
  ☆1,058Updated 5 years ago
• likesiwell / LGM-Net
  Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
  ☆84Updated 4 years ago
• mileyan / simple_shot
  ☆132Updated 3 years ago
• twitter-research / meta-learning-lstm
  This repo contains the source code accompanying a scientific paper with the same name.
  ☆369Updated 3 years ago
• ServiceNow / am3
  Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.
  ☆65Updated 2 years ago
• ServiceNow / TADAM
  The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …
  ☆106Updated 2 years ago