Skip to content
View AndreaCossu's full-sized avatar
81 followers · 22 following

Achievements

Achievement: Starstruckx3Achievement: Galaxy Brainx3Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx3Achievement: Galaxy Brainx3Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Highlights

  • Pro

Block or report AndreaCossu

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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.

Pinned Loading

  1. ContinualAI/avalanche ContinualAI/avalanche Public

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

    Python 2k 316

  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 3

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

    Continual Learning with Echo State Networks experiments

    Python 10 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 698 61

  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 339 48