Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".
☆29Jan 24, 2023Updated 3 years ago
Alternatives and similar repositories for latent_CL
Users that are interested in latent_CL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.☆35Apr 2, 2023Updated 3 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆101Dec 13, 2022Updated 3 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Nov 15, 2021Updated 4 years ago
- IIRC: Incremental Implicitly Refined Classification☆30Dec 15, 2022Updated 3 years ago
- A clean and simple data loading library for Continual Learning☆448Jun 25, 2023Updated 3 years 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.
- Automatic script to parse bibtex to mardown to create manageable bibliography github repository. We take the example of continual learnin…☆11Nov 1, 2020Updated 5 years ago
- Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"☆18Aug 14, 2022Updated 3 years ago
- Official repository for Do Pre-trained Models Benefit Equally in Continual Learning? (Accepted to WACV'23)☆26Oct 20, 2024Updated last year
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆477Jul 30, 2024Updated last year
- ☆29Oct 20, 2021Updated 4 years ago
- Mutual Information Gradient Estimation☆12Sep 8, 2021Updated 4 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆64Apr 1, 2022Updated 4 years ago
- Incremental Methods of Deep Learning for Detection and Classifcation in a Robotics Environment☆12May 28, 2018Updated 8 years ago
- A Continual Multi-agent RL testbed based on Hanabi☆32Aug 1, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A PyTorch framework for Continual Learning research.☆23Dec 7, 2023Updated 2 years ago
- ☆38Nov 4, 2024Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".☆109Dec 13, 2022Updated 3 years ago
- ☆13Apr 7, 2022Updated 4 years ago
- HTML representation for Python objects.☆17Apr 16, 2025Updated last year
- ☆24Jun 22, 2022Updated 4 years ago
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16May 4, 2023Updated 3 years ago
- ☆32Oct 13, 2021Updated 4 years ago
- PyTorch implementation of various distillation approaches for continual learning of Diffusion Models.☆26Mar 4, 2025Updated 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.
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Nov 2, 2020Updated 5 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆410Oct 3, 2023Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆153Aug 25, 2024Updated last year
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆106Dec 8, 2022Updated 3 years ago
- ☆16Apr 9, 2021Updated 5 years ago
- The PackNet Continual Learning Method in Pytorch☆15Aug 19, 2021Updated 4 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆92Nov 15, 2024Updated last year
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆50Dec 19, 2022Updated 3 years ago
- Implementation for the paper "Learning Invariant Representation for Continual Learning" in PyTorch.☆12Jan 31, 2021Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- [TIP] Exploring Effective Factors for Improving Visual In-Context Learning☆21Jul 2, 2025Updated 11 months ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆530Apr 26, 2021Updated 5 years ago
- ☆69Sep 21, 2020Updated 5 years ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆26Jun 21, 2023Updated 3 years ago
- ☆26Jul 3, 2020Updated 5 years ago
- Original code base for On Pretraining Data Diversity for Self-Supervised Learning☆14Dec 30, 2024Updated last year
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆148Jun 30, 2022Updated 3 years ago