EdenBelouadah / class-incremental-learningLinks
☆177Updated 3 years ago
Alternatives and similar repositories for class-incremental-learning
Users that are interested in class-incremental-learning are comparing it to the libraries listed below
Sorting:
- Learning a Unified Classifier Incrementally via Rebalancing☆190Updated 4 years ago
- pytorch implementation of Large Scale Incremental Learning☆66Updated 5 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆407Updated last year
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆203Updated 4 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆243Updated 4 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆466Updated 4 months ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 5 years ago
- PyTorch Implementation of iCaRL☆117Updated 6 years ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆162Updated 3 years ago
- Generative Feature Replay For Class-Incremental Learning☆37Updated 5 years ago
- ☆262Updated 3 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆97Updated last year
- Implementation of Learning without Forgetting paper☆133Updated 4 years ago
- Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.☆54Updated 2 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆102Updated 2 years ago
- ☆71Updated 5 years ago
- PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (…☆77Updated 2 years ago
- Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]☆63Updated 6 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆216Updated 6 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆93Updated last year
- ☆98Updated 3 years ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆553Updated 2 years ago
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆82Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆116Updated 2 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Updated 2 years ago
- ☆58Updated 3 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆164Updated 4 years ago
- Memory Aware Synapses method implementation code☆97Updated 6 years ago
- (AAAI 2021) Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network☆24Updated 4 years ago
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆44Updated 3 years ago