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Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx3

Achievements

Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx3

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loftusa/README.md 
class Alex(Parents):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        self.professional_status = {
            "role" : "PhD Student", 
            "institution" : "Northeastern University",
            "focus": "Interpretability in code LLMs"
        }
        self.degree_status = {
            "level" : "MSE", 
            "degree": "Biomedical Engineering"
            "concentration" : "Biomedical Data Science",
            "institution" : "Johns Hopkins University",
        }
        self.personal_status = {
            "mood": "Curious",
        }
        self.languages = ["python", "R", "rust", "bash"]
        self.favorite_packages = ["pytorch", "numpy", "scipy", "pandas", "scikit-learn", "matplotlib", "seaborn"]
        self.tools = ["docker", "git", "linux", "aws", "photoshop", "jupyter"]
    
    def work(self, *tasks):
        while self.focus(*tasks):  # inherited method from Parents
            self.enjoy()

Pinned Loading

  1. Vesuvius-InkDetection Vesuvius-InkDetection Public

    Forked from ainatersol/Vesuvius-InkDetection

    The Vesuvius Challenge is a machine learning and computer vision competition to read the Herculaneum Papyri.

    Jupyter Notebook 1

  2. graspologic-org/graspologic graspologic-org/graspologic Public

    Python package for graph statistics

    Python 950 163

  3. neurodata/m2g neurodata/m2g Public

    NeuroData's MRI to Graphs (m2g) - connectome estimation package and pipeline

    Python 63 37

  4. paper_template paper_template Public

    Paper template to use as a base for future academic papers.

    TeX 2

  5. neurodata/graphutils neurodata/graphutils Public

    Alex's utilities for working with ndmg outputs.

    Python 1 2

  6. debug debug Public

    debugging LLMs with interpretability

    Python 2