🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
☆571Jan 29, 2026Updated last month
Alternatives and similar repositories for LAMDA-PILOT
Users that are interested in LAMDA-PILOT 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
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆151Aug 25, 2024Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆82Apr 1, 2025Updated 11 months ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆58Jun 9, 2025Updated 9 months ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆280Nov 7, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆91Nov 15, 2024Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆201Oct 14, 2023Updated 2 years ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆53Aug 17, 2024Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆55Feb 15, 2025Updated last year
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learni…☆793Updated this week
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆109Mar 5, 2024Updated 2 years ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆125Feb 12, 2023Updated 3 years ago
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆471Jul 30, 2024Updated last year
- Awesome Incremental Learning☆4,427Mar 18, 2026Updated last week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆155Oct 5, 2023Updated 2 years ago
- An Incremental Learning, Continual Learning, and Life-Long Learning Repository☆609May 11, 2024Updated last year
- ☆148Dec 7, 2024Updated last year
- External Knowledge Injection for CLIP-Based Class-Incremental Learning (ICCV 2025)☆54Nov 19, 2025Updated 4 months ago
- 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
- Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024☆270Sep 18, 2025Updated 6 months ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆356Jan 27, 2026Updated last month
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆59Jul 3, 2025Updated 8 months ago
- ☆50Apr 5, 2025Updated 11 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆35Jun 12, 2025Updated 9 months ago
- This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel…☆284Dec 9, 2024Updated last year
- ☆24Apr 7, 2024Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆110Mar 13, 2025Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆47Mar 21, 2023Updated 3 years ago
- ✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction☆31Oct 29, 2024Updated last year
- [AAAI 2025] The code repository for "MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆56Apr 17, 2025Updated 11 months ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆563May 26, 2023Updated 2 years ago
- Official code repo for CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆29Aug 10, 2025Updated 7 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Nov 12, 2024Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".☆109Dec 13, 2022Updated 3 years ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆106Sep 26, 2024Updated last year
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆41Nov 10, 2023Updated 2 years ago
- Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.☆19Nov 13, 2024Updated last year
- A clean and simple data loading library for Continual Learning☆446Jun 25, 2023Updated 2 years ago
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆11Jun 7, 2024Updated last year