Alternatives and similar repositories for lgc

Users that are interested in lgc are comparing it to the libraries listed below

• panji530 / Deep-subspace-clustering-networks
  ☆210Updated 4 years ago
• liqimai / Efficient-SSL
  Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."
  ☆75Updated 6 years ago
• csyanbin / TPN-pytorch
  Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆177Updated 4 years ago
• csyanbin / TPN
  Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆244Updated 6 years ago
• DuaneNielsen / DeepInfomaxPytorch
  Learning deep representations by mutual information estimation and maximization
  ☆324Updated 6 years ago
• vector-1127 / DAC
  clustering
  ☆115Updated 6 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)
  ☆88Updated 7 years ago
• vgsatorras / few-shot-gnn
  ☆577Updated 2 years ago
• zhang-junjian / S2ConvSCNet
  Self-Supervised Convolutional Subspace Clustering Network
  ☆14Updated 6 years ago
• Luoyadan / BGNN-AAAI
  official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)
  ☆63Updated 5 years ago
• alinlab / L2T-ww
  Learning What and Where to Transfer (ICML 2019)
  ☆248Updated 4 years ago
• JiaxinZhuang / DAC.Pytorch
  Pytorch version for DAC (ICCV2017)
  ☆12Updated 5 years ago
• RockySJ / WDGRL
  ☆126Updated 7 years ago
• xjtushujun / meta-weight-net
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
  ☆290Updated 3 years ago
• liulu112601 / Prototype-Propagation-Net
  IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
  ☆56Updated 5 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 3 years ago
• edgarschnfld / CADA-VAE-PyTorch
  Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
  ☆292Updated 2 years ago
• tiangeluo / fsl-hierarchy
  Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy
  ☆33Updated 5 years ago
• danieltan07 / learning-to-reweight-examples
  PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
  ☆354Updated 6 years ago
• jmkim0309 / fewshot-egnn
  ☆275Updated 6 years ago
• HX-idiot / FADA-Pytorch
  pytorch implement for the paper Few-Shot Adversarial Domain Adaptation
  ☆55Updated 2 years ago
• gidariss / wDAE_GNN_FewShot
  Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
  ☆157Updated 6 years ago
• Mid-Push / Moving-Semantic-Transfer-Network
  Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
  ☆110Updated 7 years ago
• yinboc / DGP
  Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019
  ☆320Updated 6 years ago
• yue-zhongqi / ifsl
  [NeurIPS 2020] Released code for Interventional Few-Shot Learning
  ☆169Updated 4 years ago
• Raymond-sci / PICA
  Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
  ☆62Updated 5 years ago
• ahmetius / LP-DeepSSL
  Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning
  ☆116Updated 5 years ago
• peisuke / MomentumContrast.pytorch
  Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning
  ☆120Updated last year
• johncava / GCN-pytorch
  Pytorch Implementation of Graph Convolutional Neural Networks
  ☆111Updated 8 years ago
• yamaguchiyuto / label_propagation
  Implementations of label propagation like algorithms
  ☆82Updated 8 years ago