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@Andron00e
Andron00e
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πŸ—―οΈ
☦🎚️

Andrei Semenov Andron00e

πŸ—―οΈ
☦🎚️

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Andron00e /README.md

πŸ‘‹ Hi, I’m Andrei
πŸ‘€ 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. epfml/llm-optimizer-benchmark epfml/llm-optimizer-benchmark Public

    Benchmarking Optimizers for LLM Pretraining

    Python 48 2

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

    nanoGPT-like codebase for LLM training

    Python 113 37

  3. learning-at-scale learning-at-scale Public template

    A codebase for training models of different scales

    Python 5 2

  4. JAST JAST Public

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

    Jupyter Notebook 1 3

  5. SparseCBM SparseCBM Public archive

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

    Jupyter Notebook 12 1

  6. Megatron-LM Megatron-LM Public

    Forked from mpagli/Megatron-LM

    Ongoing research training transformer models at scale

    Python 1

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