PyCIL: A Python Toolbox for Class-Incremental Learning
β1,063Jan 29, 2026Updated last month
Alternatives and similar repositories for PyCIL
Users that are interested in PyCIL are comparing it to the libraries listed below
Sorting:
- Class-Incremental Learning: A Survey (TPAMI 2024)β280Nov 7, 2024Updated last year
- π PILOT: A Pre-trained Model-Based Continual Learning Toolboxβ568Jan 29, 2026Updated last month
- Awesome Incremental Learningβ4,414Jan 29, 2026Updated last month
- An Incremental Learning, Continual Learning, and Life-Long Learning Repositoryβ607May 11, 2024Updated last year
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.β563May 26, 2023Updated 2 years ago
- a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.β107Sep 3, 2025Updated 6 months ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021β169Oct 29, 2021Updated 4 years ago
- Awesome Few-Shot Class-Incremental Learningβ250Jan 14, 2024Updated 2 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)β137Oct 31, 2023Updated 2 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"β118May 13, 2023Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)β151Aug 25, 2024Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.β60Nov 29, 2022Updated 3 years ago
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learniβ¦β791Mar 2, 2026Updated 2 weeks ago
- Avalanche: an End-to-End Library for Continual Learning based on PyTorch.β2,037Mar 11, 2025Updated last year
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classβ¦β1,832Nov 5, 2025Updated 4 months ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)β473Apr 10, 2025Updated 11 months ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).β408Oct 3, 2023Updated 2 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022β148Jun 30, 2022Updated 3 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"β167Jun 22, 2021Updated 4 years ago
- Code for NeurIPS 2022 paper βS-Prompts Learning with Pre-trained Transformers: An Occamβs Razor for Domain Incremental Learningββ106Sep 26, 2024Updated last year
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ β¦β471Jul 30, 2024Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power β¦β53Aug 17, 2024Updated last year
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)β249Sep 20, 2020Updated 5 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22β201Oct 14, 2023Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)β91Nov 15, 2024Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.β82Apr 1, 2025Updated 11 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"β155Oct 5, 2023Updated 2 years ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), Sβ¦β419May 30, 2023Updated 2 years ago
- π π A curated list of awesome papers for incremental learning with pre-trained modelsβ58Jun 9, 2025Updated 9 months ago
- A clean and simple data loading library for Continual Learningβ446Jun 25, 2023Updated 2 years ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorchβ47Mar 21, 2023Updated 2 years ago
- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and oβ¦β337Feb 20, 2024Updated 2 years ago
- Learning a Unified Classifier Incrementally via Rebalancingβ194Apr 23, 2021Updated 4 years ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.β355Jan 27, 2026Updated last month
- β177Feb 21, 2022Updated 4 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"β39Aug 7, 2022Updated 3 years ago
- PyTorch implementation of "Continual Detection Transformer for Incremental Object Detection" (CVPR 2023)β110Jan 26, 2025Updated last year
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorchβ69Jan 14, 2024Updated 2 years ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learningβ41Nov 12, 2024Updated last year