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@epfl-ada@CS-433@swiss-ai@opt-ssm@brain-lab-research

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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. epfml/llm-optimizer-benchmarkepfml/llm-optimizer-benchmarkPublic

    Benchmarking Optimizers for LLM Pretraining

    Python 60 8

  2. epfml/llm-baselinesepfml/llm-baselinesPublic

    nanoGPT-like codebase for LLM training

    Python 118 41

  3. learning-at-scalelearning-at-scalePublic template

    A codebase for training models of different scales

    Python 5 2

  4. JASTJASTPublic

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

    Jupyter Notebook 1 3

  5. SparseCBMSparseCBMPublic archive

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

    Jupyter Notebook 12 1

  6. Megatron-LMMegatron-LMPublic

    Forked from mpagli/Megatron-LM

    Ongoing research training transformer models at scale

    Python 1