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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

authkeeper

A ( React + Redux + Node + Express + MongoDB ) starter app which utilizes JWTs, HOCs, and Express routing middlewares to do authentication and authorization on both the client and the server.

books

bull

A NodeJS persistent job and message queue based on Redis

chat

Simple chat application with Nodejs

circleci-hello-world

CircleCI Demo

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

countrypedia-api

Just a simple RESTful API for Information about any country in the whole wide world. Built using Node.js(Express). My Starter Node.js Project.

crowdfunding

Crowdfunding web3 app with thirdweb

dap-courses

Educational courses for Data Analytics Platforms

data-science-utilities

The utilities for data science.

devday-ml-jupyter-python

Python Machine Learning environment with Jupyter Notebook

docker-compose-nifi-cluster

A Docker Compose files to compose a NiFi cluster on Docker.

documentation

DocPad's Documentation. Cloned into the Bevry and DocPad websites for generation.

dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

express-typescript-starter

fabric

The simple a fabric

fake-s3

A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies

generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

go-clean-architecture

Sample a clean architecture for Go

golang-training

Golang training

grunt-connect-proxy

isomorphic-flux-boilerplate

ES7 Isomorphic Flux/ReactJS Boilerplate

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kaggle-house-prices-dvc

Predict sales prices and practice on the Kaggle House Prices dataset using DVC for reproducible machine learning

kaggle-titanic-dvc

Predict survival on the Kaggle Titanic dataset using DVC for reproducible machine learning

kaggle-vsb-power

:zap: Abandoned but interesting attempt

kanban

Training react - Kanban

kylo

Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on Apache Hadoop and Spark. Kylo is licensed under Apache 2.0 and contributed by Think Big, A Teradata Company