pytorch implementation of Large Scale Incremental Learning
☆66Aug 2, 2020Updated 5 years ago
Alternatives and similar repositories for BIC
Users that are interested in BIC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆75Jan 10, 2020Updated 6 years ago
- ☆177Feb 21, 2022Updated 4 years ago
- Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]☆63Feb 15, 2019Updated 7 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Aug 11, 2020Updated 5 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆196Apr 23, 2021Updated 4 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.
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆109Jul 25, 2024Updated last year
- Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance tech…☆52Nov 23, 2023Updated 2 years ago
- PyTorch Implementation of iCaRL☆119May 6, 2019Updated 6 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆411Oct 3, 2023Updated 2 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Nov 30, 2022Updated 3 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆207Oct 12, 2021Updated 4 years ago
- Implementation of Learning without Forgetting paper☆132Mar 11, 2021Updated 5 years ago
- ☆272Sep 29, 2021Updated 4 years ago
- Generative Feature Replay For Class-Incremental Learning☆38Apr 16, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Official repository of the paper 'Essentials for Class Incremental Learning'☆41Sep 16, 2021Updated 4 years ago
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Aug 22, 2020Updated 5 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆473Apr 10, 2025Updated last year
- Continual learning using variational prototype replays☆10Oct 17, 2020Updated 5 years ago
- ☆60Mar 23, 2022Updated 4 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆255May 25, 2023Updated 2 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆77Mar 25, 2023Updated 3 years ago
- AI学习之路☆140Jun 28, 2023Updated 2 years ago
- Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unfo…☆124Jan 8, 2021Updated 5 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.
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆99Oct 3, 2023Updated 2 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆221Jan 23, 2019Updated 7 years ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆174Oct 29, 2021Updated 4 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆240Oct 7, 2018Updated 7 years ago
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Class…☆1,842Nov 5, 2025Updated 5 months ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Dec 15, 2022Updated 3 years ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆564May 26, 2023Updated 2 years ago
- ☆26Jul 3, 2020Updated 5 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Mar 4, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Incremental Label Propagation (ILP) - Incremental Semi-Supervised Learning from Streams for Object Classification☆14Sep 26, 2018Updated 7 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆36May 25, 2021Updated 4 years ago
- ☆18Jan 10, 2020Updated 6 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆122Mar 19, 2020Updated 6 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆35Jan 13, 2019Updated 7 years ago
- PyTorch code for the IJCNN'21 paper: "Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer"☆14Oct 17, 2022Updated 3 years ago
- Relevant papers in Continual Learning☆740Jul 25, 2023Updated 2 years ago