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52-technologies-in-2016

Let's learn a new technology every week. A new technology blog every Sunday in 2016.

actions-ml-cicd

A Collection of GitHub Actions That Facilitate MLOps

amazon-ec2-user-guide

The open source version of the Amazon EC2 User Guide for Linux. To submit feedback or requests for changes, submit an issue or make changes and submit a pull request.

awesome-production-machine-learning

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

aws-serverless-workshops

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

chaos_project_structure

using this repository to test a folder structure I would like to follow for my data science project

cython-crash-course

A quick intro to Cython for Python users who don't know C

datasciencecoursera

Repository for Coursera Assignment

datasharing

The Leek group guide to data sharing

dave

Streamlit app implementation of OpenAI Assistants API (with Code Interpreter)

easyeda

fastbook

Draft of the fastai book

flask_api

Creating a Machine Learning API using Flask - Repository for AV Article

fraud-detection-using-machine-learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

gas-sniffer

This project is about building a devise which detects a gas leakage and wirelessly shut off power to prevent an explosion from electric sparks

gassistpi

Google Assistant for all RPi Boards

getting-started-with-git

A guide to getting started with git

github-actions-for-ci

hierarchical_clustering_timeseries

Hierarchical Clustering Linkage for time series data

homebrew-custom

repo to install custom/old packages on home-brew

ibks-helloworld-ios

Sample app for scanning, ranging and monitoring iBeacon devices with CoreLocation and CoreBluetooth

instagramclone

kdb

Companion files to kdb+ and q

medium_notebook

Repository containing notebooks of my posts on Medium

ml-pipeline-generator-python

ML Pipeline Generator is a tool for generating end-to-end pipelines composed of GCP components so that any customer can easily migrate their local ML models onto GCP and start realizing the benefits of the cloud quickly.

mlops-amazon-sagemaker-devops-with-ml

Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

nasa-jet-engine-rul-prediction-notebook

Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is done by training a model using Keras (TensorFlow).

overcome-the-chaos

predictive-maintenance-of-aircraft-engine

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

progfun-wiki