RaptorMai/online-continual-learning
PyTorch implementations of online continual learning algorithms for combating catastrophic forgetting in image classification.
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This repository provides official PyTorch implementations of online class-incremental continual learning methods including Adversarial Shapley Value Experience Replay (ASER) and Supervised Contrastive Replay (SCR). The project includes benchmark datasets such as Split CIFAR10/100, CORe50, and Mini-ImageNet, along with additional continual learning baselines like EWC++ and Memory-Aware Synapses for comparative evaluation.
Frequently asked
- What is RaptorMai/online-continual-learning?
- PyTorch implementations of online continual learning algorithms for combating catastrophic forgetting in image classification.
- Is online-continual-learning open source?
- Yes — RaptorMai/online-continual-learning is an open-source project tracked on heatdrop.
- What language is online-continual-learning written in?
- RaptorMai/online-continual-learning is primarily written in Python.
- How popular is online-continual-learning?
- RaptorMai/online-continual-learning has 423 stars on GitHub.
- Where can I find online-continual-learning?
- RaptorMai/online-continual-learning is on GitHub at https://github.com/RaptorMai/online-continual-learning.