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RSTLess-research

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  1. Fauno-Italian-LLM Fauno-Italian-LLM Public

    Get ready to meet Fauno - the Italian language model crafted by the RSTLess Research Group from the Sapienza University of Rome.

    Jupyter Notebook 80 13

  2. DanteLLM DanteLLM Public

    Official repository of the DanteLLM family!

    Python 5

  3. NCOD-Learning-with-noisy-labels NCOD-Learning-with-noisy-labels Public

    We propose a new method to train machine learning models in the presence of noisy labels. Our approach combines distance to class centroids with discounting to reduce outlier samples. This method e…

    Python 3

  4. MultimodalNeuralDatabases MultimodalNeuralDatabases Public

    Forked from GiovanniTRA/MultimodalNeuralDatabases

    This repository will contain the code for the perspective paper "Multimodal Neural Databases" accepted at SIGIR 2023. Code will be uploaded as soon as possible (realistically when I am done with th…

    Python 1

  5. llm-leaderboard llm-leaderboard Public

Repositories

Showing 5 of 5 repositories
  • RSTLess-research/llm-leaderboard’s past year of commit activity
    0 0 0 0 Updated Apr 29, 2024
  • DanteLLM Public

    Official repository of the DanteLLM family!

    RSTLess-research/DanteLLM’s past year of commit activity
    Python 5 Apache-2.0 0 0 0 Updated Mar 14, 2024
  • Fauno-Italian-LLM Public

    Get ready to meet Fauno - the Italian language model crafted by the RSTLess Research Group from the Sapienza University of Rome.

    RSTLess-research/Fauno-Italian-LLM’s past year of commit activity
    Jupyter Notebook 80 GPL-3.0 13 3 0 Updated Aug 1, 2023
  • MultimodalNeuralDatabases Public Forked from GiovanniTRA/MultimodalNeuralDatabases

    This repository will contain the code for the perspective paper "Multimodal Neural Databases" accepted at SIGIR 2023. Code will be uploaded as soon as possible (realistically when I am done with the lectures of this semester :) ))

    RSTLess-research/MultimodalNeuralDatabases’s past year of commit activity
    Python 1 GPL-3.0 1 0 0 Updated Jul 22, 2023
  • NCOD-Learning-with-noisy-labels Public

    We propose a new method to train machine learning models in the presence of noisy labels. Our approach combines distance to class centroids with discounting to reduce outlier samples. This method effectively addresses the issue of noisy labels.

    RSTLess-research/NCOD-Learning-with-noisy-labels’s past year of commit activity
    Python 3 0 0 0 Updated Mar 17, 2023

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