Alternatives and similar repositories for awesome-zero-shot-learning

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

• Duan-JM / awesome-papers-fewshot
  Collection for Few-shot Learning
  ☆987Updated 2 years ago
• wyharveychen / CloserLookFewShot
  source code to ICLR'19, 'A Closer Look at Few-shot Classification'
  ☆1,152Updated 3 years ago
• e-271 / awesome-few-shot-learning
  A curated list of resources about few-shot and one-shot learning
  ☆283Updated 6 years ago
• barebell / DA
  Unsupervised Domain Adaptation Papers and Code
  ☆762Updated 4 years ago
• floodsung / LearningToCompare_FSL
  PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
  ☆1,071Updated 5 years ago
• oscarknagg / few-shot
  Repository for few-shot learning machine learning projects
  ☆1,270Updated 5 years ago
• yaoyao-liu / meta-transfer-learning
  TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
  ☆774Updated 4 months ago
• yinboc / few-shot-meta-baseline
  Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
  ☆647Updated 4 years ago
• JudyYe / zero-shot-gcn
  Zero-Shot Learning with GCN (CVPR 2018)
  ☆920Updated 6 years ago
• zhmiao / OpenLongTailRecognition-OLTR
  Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
  ☆868Updated 3 years ago
• icoz69 / DeepEMD
  Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
  ☆596Updated 2 years ago
• vgsatorras / few-shot-gnn
  ☆576Updated 2 years ago
• gidariss / FewShotWithoutForgetting
  ☆522Updated 4 years ago
• amber0309 / Domain-generalization
  All about domain generalization
  ☆839Updated 7 months ago
• renmengye / few-shot-ssl-public
  Meta Learning for Semi-Supervised Few-Shot Classification
  ☆568Updated 6 years ago
• HobbitLong / CMC
  [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
  ☆1,330Updated 4 years ago
• orobix / Prototypical-Networks-for-Few-shot-Learning-PyTorch
  Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
  ☆1,044Updated 3 years ago
• sudharsan13296 / Awesome-Meta-Learning
  A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
  ☆1,550Updated 4 years ago
• dragen1860 / awesome-meta-learning
  A curated list of Meta-Learning resources/papers.
  ☆554Updated 4 years ago
• iCGY96 / awesome_OpenSetRecognition_list
  A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…
  ☆1,168Updated last year
• Sha-Lab / FEAT
  The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
  ☆430Updated 5 years ago
• 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…
  ☆344Updated last year
• yaoyao-liu / few-shot-classification-leaderboard
  Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
  ☆389Updated 2 years ago
• jakesnell / prototypical-networks
  Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
  ☆1,195Updated 4 years ago
• bnu-wangxun / Deep_Metric
  Deep Metric Learning
  ☆782Updated 5 years ago
• zwzhang123 / Awesome-of-Long-Tailed-Recognition
  A curated list of long-tailed recognition resources.
  ☆586Updated 2 years ago
• artix41 / awesome-transfer-learning
  Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
  ☆1,762Updated 2 years ago
• HobbitLong / PyContrast
  PyTorch implementation of Contrastive Learning methods
  ☆1,992Updated 2 years ago
• tata1661 / FSL-Mate
  FSL-Mate: A collection of resources for few-shot learning (FSL).
  ☆1,755Updated 2 months ago
• mil-tokyo / MCD_DA
  ☆575Updated 3 years ago