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@epfl-ada @CS-433 @swiss-ai @opt-ssm

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Andron00e/README.md

👋 Hi, I’m Andrei
👀 My research interests include Large-Scale Optimization, Natural Language Processing, and applications of Stochastic Optimization in Deep Learning. I work on these topics at the Machine Learning and Optimization Laboratory at EPFL.

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  1. learning-at-scale learning-at-scale Public template

    A codebase for training models of different scales

    Python 4 2

  2. epfml/llm-baselines epfml/llm-baselines Public

    nanoGPT-like codebase for LLM training

    Python 98 32

  3. CLIPForImageClassification CLIPForImageClassification Public

    Implementation of OpenAI CLIP model directly for Image Classification task.

    Python 2 1

  4. rl.mipt rl.mipt Public

    MIPT course in Reinforcement Learning

    Jupyter Notebook 3

  5. JAST JAST Public archive

    ''Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning''

    Jupyter Notebook 1

  6. SparseCBM SparseCBM Public archive

    Official implementation for "Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning"

    Jupyter Notebook 10 1