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)
  ☆73Updated 5 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
• mvp18 / Popular-ZSL-Algorithms
  Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol
  ☆63Updated 4 years ago
• akshitac8 / tfvaegan
  [ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOT…
  ☆129Updated 3 years ago
• daooshee / Few-Shot-Learning
  ☆69Updated 5 years ago
• Abhipanda4 / Feature-Generating-Networks
  Zero Shot Learning with Feature Generating Networks
  ☆40Updated 3 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).
  ☆46Updated 6 years ago
• mboboGO / Awesome-Zero-Shot-Learning
  A paper collection of brand-new ZSL methods, according to different algorithm.
  ☆75Updated 3 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
• xinzheli1217 / learning-to-self-train
  Learning to Self-Train for Semi-Supervised Few-Shot
  ☆93Updated 2 years ago
• yuvalatzmon / COSMO
  Code for our paper "Adaptive Confidence Smoothing for Generalized Zero-Shot Learning"
  ☆22Updated 4 years ago
• Hsankesara / Prototypical-Networks
  A novel method for few shot learning
  ☆51Updated 5 years ago
• edgarschnfld / CADA-VAE-PyTorch
  Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
  ☆284Updated last year
• akshaysharma096 / Siamese-Networks
  Few Shot Learning by Siamese Networks, using Keras.
  ☆191Updated 4 years ago
• Chenxingyu1990 / A-Boundary-Based-Out-of-Distribution-Classifier-for-Generalized-Zero-Shot-Learning
  ☆29Updated 3 years ago
• lijin118 / LisGAN
  LisGAN, Leveraging the Invariant Side of Generative Zero-Shot Learning, CVPR 2019
  ☆72Updated 5 years ago
• stevehuanghe / GDAN
  Generative Dual Adversarial Network for Generalized Zero-shot Learning
  ☆54Updated 5 years ago
• fg91 / DeViSE-zero-shot-classification
  DeViSE model (zero-shot learning) trained on ImageNet and deployed on AWS using Docker
  ☆47Updated 5 years ago
• lzrobots / DeepEmbeddingModel_ZSL
  Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
  ☆180Updated 5 years ago
• MSiam / Few-Shot-Learning
  ☆101Updated 4 years ago
• vkkhare / ZSL-ADA
  Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"
  ☆19Updated 4 years ago
• chrysts / dsn_fewshot
  ☆90Updated 2 years ago
• BoyuanJiang / matching-networks-pytorch
  Matching Networks for one shot learning
  ☆230Updated 7 years ago
• Hanzy1996 / CE-GZSL
  Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning
  ☆93Updated 3 years ago
• gabrielwong159 / siamese
  One-shot learning for image classification using Siamese neural networks
  ☆35Updated 6 years ago
• shrtCKT / opennet
  Code for research paper "Learning a Neural Network based Representation for Open Set Recognition" M. Hassen, P. K. Chan
  ☆25Updated 4 years ago
• mboudiaf / TIM
  (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
  ☆119Updated last year
• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 3 years ago
• 2000222 / Few-shot-classification----Siamese-Networks-Triplet-Loss
  Try to train a Triplet-Siamese-Netwrok with the constrained Triplet Loss for few shot image classification.
  ☆14Updated 5 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