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clabrugere/README.md

Clément Labrugere

Data Scientist with over 6 years of experience in data engineering, statistical analysis and machine learning, I thrive in applying cutting-edge tech to challenging business problems and build scalable data products leveraging state-of-the-art machine learning.

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Popular repositories

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    Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspire…

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  2. wukong-recommendation wukong-recommendation Public

    Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.

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  3. scratch-llm scratch-llm Public

    Implements a LLM similar to Meta's Llama 2 from the ground up in PyTorch, for educational purposes.

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  4. multitask-learning multitask-learning Public

    Tensorflow implementation of three architectures for multi-task learning, a paradigm to learn different prediction tasks jointly using one model

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  5. evidential-deeplearning evidential-deeplearning Public

    Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neural network.

    Python 6 2

  6. ctr-prediction ctr-prediction Public

    Implementation of some state-of-the-art deep learning architectures for CTR prediction tasks, both in Pytorch and Tensorflow

    Python 4