Douglas-L

Douglas-L's Stars

• mcrowson/zappa_dash

  Implementing Plotly's Dash on AWS Lambda via Zappa

  Language:Python396

• ipython-contrib/jupyter_contrib_nbextensions

  A collection of various notebook extensions for Jupyter

  Language:JavaScript5.2k805

• MartinGuindon/looker-ide-solarized-dark-theme

  Solarized Dark theme for the Looker IDE (to be used with a CSS override add-on like Stylebot)

  Language:CSS97

• cybertec-postgresql/postgres-showcase

  Postgres features showcase (commented SQL samples) for beginners

  16337

• grammakov/USA-cities-and-states

  Full list of US states and cities

  26168

• ResidentMario/gtfs-tripify

  Turn GTFS-RT transit updates into historical arrival data.

  Language:Python443

• jimmybow/Flask_template_auth_with_Dash

  Flask_template_auth_with_Dash

  Language:CSS19347

• plotly/dash-sample-apps

  Open-source demos hosted on Dash Gallery

  Language:Jupyter Notebook3.1k3k

• plotly/plotly.py

  The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

  Language:Python15.7k2.5k

• ritchieng/the-incredible-pytorch

  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

  11.2k2.1k

• Behrouz-Babaki/COP-Kmeans

  A Python implementation of COP-KMEANS algorithm

  Language:Python15643

• rasbt/mlxtend

  A library of extension and helper modules for Python's data analysis and machine learning libraries.

  Language:Python4.8k855

• jsvine/markovify

  A simple, extensible Markov chain generator.

  Language:Python3.3k348

• datamade/parserator

  :bookmark: A toolkit for making domain-specific probabilistic parsers

  Language:Python79085

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• pbugnion/jupyterlab-sql

  SQL GUI for JupyterLab

  Language:TypeScript41252

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook36.6k5.8k

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.1k1.2k

• kjam/data-cleaning-101

  Data Cleaning Libraries with Python

  Language:Jupyter Notebook280174

• mauhai/awesome-jupyterlab

  A curated list of awesome JupyterLab extensions and resources

  2.5k155

• spotify/annoy

  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  Language:C++12.9k1.2k

• voila-dashboards/voila

  Voilà turns Jupyter notebooks into standalone web applications

  Language:Python5.3k497

• kedro-org/kedro

  Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  Language:Python9.5k877

• DocNow/twarc

  A command line tool (and Python library) for archiving Twitter JSON

  Language:Python1.4k255

• makcedward/nlpaug

  Data augmentation for NLP

  Language:Jupyter Notebook4.4k454

• nalepae/pandarallel

  A simple and efficient tool to parallelize Pandas operations on all available CPUs

  Language:Python3.6k209

• andkret/Cookbook

  The Data Engineering Cookbook

  13.4k2.5k

• minimaxir/textgenrnn

  Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

  Language:Python4.9k754

• conversationai/conversationai-models

  A repository to house model building experiments and tools that are part of the Conversation AI effort.

  Language:Jupyter Notebook13745

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python213k24.7k