Luke A's repositories
drug-labels
Text mining drug labels
Advanced-Elasticsearch-7.0
Advanced Elasticsearch 7.0, by Packt
awesome-github-profile-readme
😎 A curated list of awesome GitHub Profile READMEs 📝
Cookbook
The Data Engineering Cookbook
cookiecutter-hypermodern-python-instance
Instance of the Hypermodern Python Cookiecutter
curriculum-guide
Jupyter Book guide providing information about the Berkeley-managed Jupyterhubs and for creating/maintaining the data science curriculum.
Elasticsearch-8.x-Cookbook
Elasticsearch 8.x Cookbook, published by Packt
elasticsearch-dsl-py
High level Python client for Elasticsearch
elasticsearch-py
Official Elasticsearch client library for Python
Emmetts-DS-NoteBooks
Random notebooks for various projects.
engineeringladders25
A framework for Engineering Managers
Fundamentals-of-Deep-Learning-Book
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
giotto-tda
A high-performance topological machine learning toolbox in Python
graphgrid-sdk-python-examples
Example usage of GraphGrid Python SDK
Knowledge-Graph-Tutorials-and-Papers
Insightful Tutorials and Papers about Knowledge Graphs
Learn-Grafana-7.0
Learn Grafana 7.0, published by packt
nexus
Blue Brain Nexus - A knowledge graph for data-driven science
nlp-in-python-tutorial
comparing stand up comedians using natural language processing
ORCID-Source
ORCID Open Source Project
peps
Python Enhancement Proposals
perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
PheKnowLator
PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models
Product-Categorization-NLP
Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
random
A place to put random stuff
tricking-data-science
A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.