Alternatives and similar repositories for zero-shot-learning

Users that are interested in zero-shot-learning are comparing it to the libraries listed below

• sbharadwajj / embarrassingly-simple-zero-shot-learning
  This is a started/demo code for Zero-Shot-Learning via implementation of Embarrassingly simple ZSL (ICML 2015)
  ☆75Updated 6 years ago
• Abhipanda4 / Feature-Generating-Networks
  Zero Shot Learning with Feature Generating Networks
  ☆40Updated 3 years ago
• Hsankesara / Prototypical-Networks
  A novel method for few shot learning
  ☆52Updated 5 years ago
• akku1506 / Feature-Generating-Networks-for-ZSL
  This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).
  ☆47Updated 6 years ago
• edgarschnfld / CADA-VAE-PyTorch
  Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
  ☆290Updated last year
• mboboGO / Awesome-Zero-Shot-Learning
  A paper collection of brand-new ZSL methods, according to different algorithm.
  ☆76Updated 4 years ago
• lzrobots / LearningToCompare_ZSL
  PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)
  ☆268Updated 6 years ago
• Zero-Shot / Zero-Shot-Learning
  A python ZSL system which makes it easy to run Zero-Shot Learning on new datasets, by giving it features and attributes. Used for the pap…
  ☆24Updated last year
• xinzheli1217 / learning-to-self-train
  Learning to Self-Train for Semi-Supervised Few-Shot
  ☆94Updated 2 years ago
• vkkhare / ZSL-ADA
  Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"
  ☆19Updated 4 years ago
• SaoYan / LearnToPayAttention
  PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)
  ☆166Updated 4 years ago
• EricArazo / PseudoLabeling
  Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
  ☆153Updated 4 years ago
• lijin118 / LisGAN
  LisGAN, Leveraging the Invariant Side of Generative Zero-Shot Learning, CVPR 2019
  ☆74Updated 5 years ago
• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 4 years ago
• chrysts / dsn_fewshot
  ☆91Updated 3 years ago
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆57Updated 7 years ago
• shruti-jadon / Hands-on-One-Shot-Learning
  This repository is for coding exercises listed in Book Hands on One Shot Learning.
  ☆110Updated 2 years ago
• stevehuanghe / GDAN
  Generative Dual Adversarial Network for Generalized Zero-shot Learning
  ☆54Updated 5 years ago
• daooshee / Few-Shot-Learning
  ☆69Updated 5 years ago
• akshitac8 / tfvaegan
  [ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOT…
  ☆130Updated 3 years ago
• kailigo / cvcZSL
  PyTorch Implementation for ICCV19 paper "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective"
  ☆33Updated 5 years ago
• yuvalatzmon / COSMO
  Code for our paper "Adaptive Confidence Smoothing for Generalized Zero-Shot Learning"
  ☆22Updated 4 years ago
• gsx0 / Attentive-Region-Embedding-Network-for-Zero-shot-Learning
  Attentive Region Embedding Network for Zero-shot Learning (CVPR 2019)
  ☆58Updated 5 years ago
• nejlag / Semi-Supervised-Learning-GAN
  Semi-supervised Learning GAN
  ☆79Updated 7 years ago
• abdulfatir / prototypical-networks-tensorflow
  Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
  ☆134Updated 7 years ago
• animebing / mnist_tsne
  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
  ☆64Updated 7 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)
  ☆87Updated 6 years ago
• DenisDsh / PyTorch-Deep-CORAL
  This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…
  ☆55Updated 6 years ago
• salman-h-khan / ZSD_Release
  This repository provides evaluation code for paper titled "Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize …
  ☆137Updated 6 years ago
• koshian2 / Pseudo-Label-Keras
  Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras
  ☆37Updated 6 years ago