🙂
Working at the intersection of Machine Learning, Computational Neuroscience and Cognitive Science.
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KU Leuven
- Leuven, Belgium
- https://gmvandeven.github.io/
- @GMvandeVen
- @[email protected]
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continual-learning
continual-learning PublicPyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
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brain-inspired-replay
brain-inspired-replay PublicA brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
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class-incremental-learning
class-incremental-learning PublicPyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
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complex-synapses
complex-synapses PublicDeep learning implementation of the Benna-Fusi complex synapse model.
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