a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
☆107Sep 3, 2025Updated 6 months ago
Alternatives and similar repositories for a-PyTorch-Tutorial-to-Class-Incremental-Learning
Users that are interested in a-PyTorch-Tutorial-to-Class-Incremental-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyCIL: A Python Toolbox for Class-Incremental Learning☆1,063Jan 29, 2026Updated last month
- Class-Incremental Learning: A Survey (TPAMI 2024)☆280Nov 7, 2024Updated last year
- 🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox☆568Jan 29, 2026Updated last month
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆563May 26, 2023Updated 2 years ago
- The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.☆18May 25, 2023Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆69Jan 14, 2024Updated 2 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆60Nov 29, 2022Updated 3 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆151Aug 25, 2024Updated last year
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆169Oct 29, 2021Updated 4 years ago
- This is the Pytorch implementation of LwF☆80Dec 30, 2024Updated last year
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆58Jun 9, 2025Updated 9 months ago
- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and o…☆339Feb 20, 2024Updated 2 years ago
- An Incremental Learning, Continual Learning, and Life-Long Learning Repository☆609May 11, 2024Updated last year
- A clean and simple data loading library for Continual Learning☆446Jun 25, 2023Updated 2 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆148Jun 30, 2022Updated 3 years ago
- an incremental learning framework☆47Sep 9, 2023Updated 2 years ago
- Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)☆44Aug 1, 2025Updated 7 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆125Feb 12, 2023Updated 3 years ago
- Official implementation of AAAI 2023 paper "Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference…☆37Feb 25, 2023Updated 3 years ago
- Avalanche: an End-to-End Library for Continual Learning based on PyTorch.☆2,037Mar 11, 2025Updated last year
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆137Oct 31, 2023Updated 2 years ago
- Class Incremental Learning☆30Aug 19, 2023Updated 2 years ago
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆471Jul 30, 2024Updated last year
- ☆20Sep 17, 2022Updated 3 years ago
- Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance tech…☆52Nov 23, 2023Updated 2 years ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆35Feb 10, 2023Updated 3 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆473Apr 10, 2025Updated 11 months ago
- ☆14Jul 2, 2018Updated 7 years ago
- Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.☆29Oct 20, 2021Updated 4 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆126Sep 25, 2022Updated 3 years ago
- ☆177Feb 21, 2022Updated 4 years ago
- Pytorch implementation of iCaRL with some extras.☆15Nov 29, 2020Updated 5 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆201Oct 14, 2023Updated 2 years ago
- Awesome Incremental Learning☆4,414Jan 29, 2026Updated last month
- Continual Evidential Deep Learning ICCVW 2023☆14Nov 3, 2023Updated 2 years ago
- Official code for "Continual Learning in the Frequency Domain" (NeurIPS 2024)☆13Mar 18, 2025Updated last year
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆249Sep 20, 2020Updated 5 years ago
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learni…☆791Mar 2, 2026Updated 3 weeks ago
- Learning a Unified Classifier Incrementally via Rebalancing☆194Apr 23, 2021Updated 4 years ago