Alternatives and similar repositories for SDC-IL

Users that are interested in SDC-IL are comparing it to the libraries listed below

• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆99Updated last year
• hshustc / CVPR19_Incremental_Learning
  Learning a Unified Classifier Incrementally via Rebalancing
  ☆190Updated 4 years ago
• sairin1202 / BIC
  pytorch implementation of Large Scale Incremental Learning
  ☆66Updated 5 years ago
• kibok90 / iccv2019-inc
  ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
  ☆80Updated 2 years ago
• wuyuebupt / LargeScaleIncrementalLearning
  ☆71Updated 5 years ago
• chrysts / dsn_fewshot
  ☆90Updated 3 years ago
• xyutao / fscil
  Official repository for Few-Shot Class-Incremental Learning (FSCIL)
  ☆243Updated 4 years ago
• xialeiliu / GFR-IL
  Generative Feature Replay For Class-Incremental Learning
  ☆37Updated 5 years ago
• EdenBelouadah / class-incremental-learning
  ☆177Updated 3 years ago
• mancinimassimiliano / CuMix
  Official code for "Towards Recognizing Unseen Categories in Unseen Domains"
  ☆64Updated 2 years ago
• JoyHuYY1412 / DDE_CIL
  ☆61Updated 3 years ago
• yaoyao-liu / tiered-imagenet-tools
  Tools for generating tieredImageNet dataset and processing batches
  ☆78Updated 4 years ago
• drimpossible / GDumb
  Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …
  ☆93Updated last year
• IBM / cdfsl-benchmark
  (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
  ☆231Updated 4 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆56Updated 5 years ago
• tyler-hayes / REMIND
  PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"
  ☆82Updated last year
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆37Updated 4 years ago
• optimass / Maximally_Interfered_Retrieval
  Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
  ☆103Updated 2 years ago
• valeoai / BF3S
  Boosting Few-Shot Visual Learning with Self-Supervision
  ☆138Updated 5 years ago
• PatrickZH / End-to-End-Incremental-Learning
  Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]
  ☆63Updated 6 years ago
• WilliamYi96 / awesome-continual-zero-shot-learning
  A curated list of resources on continual zero-shot learning
  ☆17Updated 3 years ago
• njulus / REFILLED
  This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".
  ☆49Updated 4 years ago
• nupurkmr9 / S2M2_fewshot
  ☆115Updated 4 years ago
• kminsoo / AFC
  ☆58Updated 3 years ago
• HAHA-DL / Episodic-DG
  This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
  ☆57Updated 2 years ago
• renmengye / inc-few-shot-attractor-public
  Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"
  ☆122Updated 5 years ago
• k-han / AutoNovel
  "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…
  ☆229Updated 5 years ago
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆64Updated 2 years ago
• mileyan / simple_shot
  ☆131Updated 4 years ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆152Updated 4 years ago