Createdd

Writing

📚📝 Notes on the journey

authenticationIntro

Getting through the basics of setting up an authentication in NodeJS :fire:

web-miner

Crawls sites, to find new content and scrap it

ml_api_covid

This is the API Code for my tutorial article. It paints a picture for developing a machine learning Python API from start to finish and provides help in more difficult areas like the setup with AWS Lambda.

pandas_transform_format

Example for creating an API from start to end

data_science_boilerplate

tensorFlowTest

logisticRegression

https://ddcreationstudios.github.io/logisticRegression/

computervision_ue

Computer Vision Lab - Anomaly detection WISAR; Locate humans in a forest

DataScienceCollection

Collection of various data science related files

lawstatistics

just a basic example for using statistics in law

covid19_eda

eda report for covid-19 data

covid_analysis

EuLaw

codebase for eu problems

gin

Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.

tfjs-converter

Convert TensorFlow SavedModel and Keras models to TensorFlow.js

twilio_chat

Smart appointments: Fullstack app integrating ChatGPT to WhatsApp and providing an AI-based smart scheduling bot. Programming instant messaging using Communication Platform as a service (CPaaS)

awesome-how-to-run-events

A curated list of awesome "how to run events" resources

charting

Setup and integration for ReactJS, TypeScript, Jest, styled-components and Recharts.

Createdd

createdd.github.io

https://createdd.github.io/

fastAiPetClassification

From https://course.fast.ai/videos/?lesson=1

glasskube

🧊 The missing Package Manager for Kubernetes 📦 Featuring a GUI and a CLI. Glasskube packages are dependency aware, GitOps ready and get automatic updates via a central public package repository.

keras-io

Keras documentation, hosted live at keras.io

LogicJKU

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

seminar_in_ai_systematic_mapping_mlops

shap

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

thesis_latex_template_jku_fork

web-miner-go

web miner in go :spider: