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Achievements

Achievement: Pull Sharkx4Achievement: Pair Extraordinairex3Achievement: Galaxy Brainx4Achievement: QuickdrawAchievement: YOLOAchievement: Public SponsorAchievement: Mars 2020 ContributorAchievement: Arctic Code Vault ContributorAchievement: Starstruckx4

Achievements

Achievement: Pull Sharkx4Achievement: Pair Extraordinairex3Achievement: Galaxy Brainx4Achievement: QuickdrawAchievement: YOLOAchievement: Public SponsorAchievement: Mars 2020 ContributorAchievement: Arctic Code Vault ContributorAchievement: Starstruckx4

Highlights

  • Pro

Organizations

@conda-forge @psa-lab @iPRoBe-lab @Raschka-research-group @BioPandas

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rasbt/README.md

Hi, I'm Sebastian 👋

I'm an AI research engineer specializing in large language models (LLMs), deep learning, and open-source development.

My work focuses on AI research, building practical tools, and sharing knowledge through books and open-source contributions.

Links

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  1. LLMs-from-scratch LLMs-from-scratch Public

    Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

    Jupyter Notebook 38.3k 5k

  2. machine-learning-book machine-learning-book Public

    Code Repository for Machine Learning with PyTorch and Scikit-Learn

    Jupyter Notebook 3.8k 1.4k

  3. MachineLearning-QandAI-book MachineLearning-QandAI-book Public

    Machine Learning Q and AI book

    Jupyter Notebook 367 84

  4. deeplearning-models deeplearning-models Public

    A collection of various deep learning architectures, models, and tips

    Jupyter Notebook 16.9k 4k

  5. Lightning-AI/litgpt Lightning-AI/litgpt Public

    20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

    Python 11.2k 1.1k

  6. LLM-workshop-2024 LLM-workshop-2024 Public

    A 4-hour coding workshop to understand how LLMs are implemented and used

    Jupyter Notebook 845 269