Alternatives and similar repositories for oc-fewshot-public:

Users that are interested in oc-fewshot-public are comparing it to the libraries listed below

• bfshi / ARML_Auxiliary_Task_Reweighting
  Code for our paper "Auxiliary Task Reweighting for Minimum-data Learning" (NeurIPS 2020)
  ☆18Updated 4 years ago
• rahafaljundi / Selfless-Sequential-Learning
  ☆26Updated 4 years ago
• AntreasAntoniou / FewShotContinualLearning
  The original code for the paper "Benchmarks for Continual Few-Shot Learning".
  ☆35Updated 4 years ago
• alessiabertugli / FUSION
  PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
  ☆20Updated 4 years ago
• SaynaEbrahimi / Remembering-for-the-Right-Reasons
  Official Implementation of Remembering for the Right Reasons (ICLR 2021)
  ☆30Updated 3 years ago
• alinlab / object-aware-contrastive
  Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)
  ☆45Updated 3 years ago
• TLESORT / Continual_Learning_Data_Former
  A pytorch compatible data loader to create sequence of tasks for Continual Learning
  ☆33Updated 5 years ago
• cjrd / selfaugment
  Code for SelfAugment
  ☆27Updated 4 years ago
• universome / class-norm
  Class Normalization for Continual Zero-Shot Learning
  ☆34Updated 4 years ago
• fgolemo / cl-workshop-cvpr21-docker
  Seed repo for CVPR'21 Continual Learning Challenge
  ☆14Updated 4 years ago
• indy-lab / ProtoTransfer
  Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
  ☆51Updated 3 years ago
• yunhuiguo / MEGA
  [NeurIPS 2020, Spotlight] Improved Schemes for Episodic Memory-based Lifelong Learning
  ☆18Updated 4 years ago
• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 4 years ago
• yaoyao-liu / e3bm
  PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)
  ☆48Updated last year
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• yaoyao-liu / tiered-imagenet-tools
  Tools for generating tieredImageNet dataset and processing batches
  ☆76Updated 4 years ago
• giparisi / GDM
  Growing Dual-Memory Self-Organizing Networks
  ☆25Updated 6 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated 9 months ago
• flennerhag / warpgrad
  Meta-Learning with Warped Gradient Descent
  ☆93Updated 4 years ago
• chandar-lab / IIRC
  IIRC: Incremental Implicitly Refined Classification
  ☆30Updated 2 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• seongmin-kye / MCT
  Pytorch implementation of Meta-Learned Confidence for Few-shot Learning
  ☆71Updated 4 years ago
• AhmedAyad89 / Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning
  ☆19Updated 5 years ago
• vlomonaco / ar1-pytorch
  AR1* with Latent Replay, implemented in PyTorch
  ☆30Updated 4 years ago
• mancinimassimiliano / CuMix
  Official code for "Towards Recognizing Unseen Categories in Unseen Domains"
  ☆64Updated 2 years ago
• Yiluan / AWGIM
  Code for paper "Attentive Weights Generation for Few Shot Learning via Information Maximization"
  ☆17Updated 4 years ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆37Updated 4 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆106Updated 4 years ago
• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆97Updated last year
• minyoungg / wmigftl
  models and tools for -What makes ImageNet good for Transfer Learning?
  ☆25Updated 7 years ago