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AndreaCossu/README.md

Hi there 👋

I am an assistant professor (RTD-A in Italy) at University of Pisa.
My research focuses on Continual Learning, with applications to Recurrent Neural Networks models and sequential data processing.

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  1. ContinualAI/avalanche ContinualAI/avalanche Public

    Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

    Python 1.8k 296

  2. ContinualLearning-SequentialProcessing ContinualLearning-SequentialProcessing Public

    Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural Networks (RNNs) inspired by Progressive network architecture.

    Python 15 4

  3. Pervasive-AI-Lab/ContinualLearning-EchoStateNetworks Pervasive-AI-Lab/ContinualLearning-EchoStateNetworks Public

    Continual Learning with Echo State Networks experiments

    Python 9 2

  4. Relation-Network-PyTorch Relation-Network-PyTorch Public

    Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

    Python 19 7

  5. ContinualAI/continual-learning-papers ContinualAI/continual-learning-papers Public

    Continual Learning papers list, curated by ContinualAI

    HTML 589 54

  6. ContinualAI/continual-learning-baselines ContinualAI/continual-learning-baselines Public

    Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

    Python 274 38