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@IIIA-ML

Learning Systems Department @ IIIA-CSIC

Software developed by the Artificial Intelligence Research Institute (IIIA-CSIC)

Hi there 👋

The Learning Systems Department of the Artificial Intelligence Research Institute (IIIA-CSIC) focuses on developing machine learning algorithms, models, software, and applications. From an algorithmic/modeling perspective, the group pursues research in Probabilistic Graphical Models, Case-Based Reasoning, Transfer Learning, and Deep Learning. From the software and applications perspective, the group concentrates on the application areas such as Social Networks, Music, Robotics, Multiagent Systems, Citizen Science, Bioinformatics, and Healthcare.

🏠 Homepage 🎓 Publications 🏛️ IIIA-CSIC

Popular repositories

  1. alk alk Public

    Anytime Lazy kNN: A fast anytime kNN search algorithm that assesses only true kNN candidates in a lazy fashion.

    Python 2

  2. realcause realcause Public

    Forked from bradyneal/realcause

    Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causal structure.

    Python 1

  3. cumulus_expansion_variance_analysis cumulus_expansion_variance_analysis Public

    Jupyter Notebook 1

  4. geoloc-data geoloc-data Public

    Datasets for image geolocalization

  5. geoloc geoloc Public

    Code for image geolocalization

    Jupyter Notebook 1

  6. FocalNet FocalNet Public

    Forked from microsoft/FocalNet

    Code for Focal Modulation Networks

    Python

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