loftusa Goto Github PK

followers: 26.0 following: 68.0 repos: 71.0 gists: 0.0

Name: Alex Loftus

Type: User

Company: Creyon Bio

Bio: Biomedical Engineering MSE, Johns Hopkins University --- Born and raised in Seattle, WA, living in San Diego, CA

Location: San Diego

class Alex(Parents):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        self.professional_status = {
            "role" : "Data Scientist", 
            "company" : "Creyon",
        }
        self.degree_status = {
            "level" : "MSE", 
            "degree": "Biomedical Engineering"
            "concentration" : "Biomedical Data Science",
            "institution" : "Johns Hopkins University",
        }
        self.personal_status = {
            "girlfriend": "Aina",
            "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):
            self.enjoy()

Alex Loftus's Projects

allennlp

An open-source NLP research library, built on PyTorch.

awesome-chatgpt-prompts

This repo includes ChatGPT promt curation to use ChatGPT better.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-network-analysis

A curated list of awesome network analysis resources.

caiman

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

dance-moves-generator

Experimenting with making Python packages and creating a randomized dance moves generator

data

Datasets used in the book Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.