LAMDA-CL / LAMDA-PILOTLinks
π PILOT: A Pre-trained Model-Based Continual Learning Toolbox
β440Updated last month
Alternatives and similar repositories for LAMDA-PILOT
Users that are interested in LAMDA-PILOT are comparing it to the libraries listed below
Sorting:
- PyCIL: A Python Toolbox for Class-Incremental Learningβ934Updated last month
- A curated list of Continual Learning papers and BibTeX entriesβ183Updated 7 months ago
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learniβ¦β686Updated last week
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.β305Updated last week
- Class-Incremental Learning: A Survey (TPAMI 2024)β254Updated 7 months ago
- A paper list of our recent survey on continual learning, and other useful resources in this field.β82Updated last year
- An Incremental Learning, Continual Learning, and Life-Long Learning Repositoryβ584Updated last year
- β133Updated 5 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22β196Updated last year
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ β¦β447Updated 10 months ago
- Awesome Few-Shot Class-Incremental Learningβ239Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"β139Updated last year
- Code for NeurIPS 2022 paper βS-Prompts Learning with Pre-trained Transformers: An Occamβs Razor for Domain Incremental Learningββ100Updated 8 months ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.β551Updated 2 years ago
- [AAAI 2025] The code repository for "MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.β19Updated last month
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), Sβ¦β404Updated 2 years ago
- This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernelβ¦β244Updated 5 months ago
- π π A curated list of awesome papers for incremental learning with pre-trained modelsβ54Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)β140Updated 9 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22β118Updated 2 years ago
- A list of papers that studies Novel Class Discoveryβ481Updated last month
- Continual Learning papers list, curated by ContinualAIβ635Updated last year
- a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.β96Updated 2 years ago
- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and oβ¦β294Updated last year
- Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024β219Updated 6 months ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.β69Updated 2 months ago
- ICLR2024 paper on Continual Learningβ36Updated last year
- A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.β550Updated last week
- Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshopβ38Updated last year
- β20Updated last year