dataewan

dataewan's Stars

• mermaid-js/mermaid

  Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

  Language:TypeScript72k6393k6.5k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.8k2442.5k3.3k

• sveltejs/kit

  web development, streamlined

  Language:JavaScript18.7k1535.5k1.9k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.6k405762.2k

• braydie/HowToBeAProgrammer

  A guide on how to be a Programmer - originally published by Robert L Read

  15.9k573341.3k

• oxford-cs-deepnlp-2017/lectures

  Oxford Deep NLP 2017 course

  15.7k1.2k183.6k

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.6k397151.9k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.6k2616341.8k

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook7.9k2822215.9k

• airbnb/knowledge-repo

  A next-generation curated knowledge sharing platform for data scientists and other technical professions.

  Language:Python5.5k175291687

• ksindi/managers-playbook

  :book: Heuristics for effective management

  5.3k1872445

• ibis-project/ibis

  the portable Python dataframe library

  Language:Python5.3k853.2k594

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python2.9k621k431

• GoogleCloudPlatform/tensorflow-without-a-phd

  A crash course in six episodes for software developers who want to become machine learning practitioners.

  Language:Jupyter Notebook2.8k14842910

• frankmcsherry/blog

  Some notes on things I find interesting and important.

  Language:JavaScript2k25911177

• holdenk/spark-testing-base

  Base classes to use when writing tests with Spark

  Language:Scala1.5k77207358

• pdfernhout/High-Performance-Organizations-Reading-List

  Ideas for creating and sustaining high performance organizations

  1.2k34454

• chobeat/awesome-critical-tech-reading-list

  A reading list for the modern critical programmer

  89836138

• probmods/webppl

  Probabilistic programming for the web

  Language:JavaScript6185150486

• guillaume-chevalier/How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks

  Growing the code out of your notebooks - the right way.

  52312330

• melling/MathAndScienceNotes

  Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc

  50720061

• operatorai/modelstore

  🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

  Language:Python37585325

• alastairrushworth/free-data-science

  🛠️ 🌐 Thematic list of high-quality data science resources

  Language:R28519247

• voxmedia/data-projects

  Scripts and data for various Vox Media stories and news projects

  Language:Jupyter Notebook186144167

• Data4Democracy/ethics-resources

  167651732

• NikAshanin/Software-Architect-Cheat-Sheet

  13517041

• Skyscanner/engineering-principles

  Skyscanner's Engineering Principles

  13313027

• koaning/brent

  bayesian graphical modelling and a bit of do-calculus for discrete data.

  Language:Jupyter Notebook274145

• Standup-and-Prosper/leadership101

  Courageous leader starter kit

  8102

• GlasgowCoderCollective/glasgowcodercollective.github.io

  A coding network in Glasgow

  Language:HTML2584