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adversarial-neural-cryptography

ai-fundamentals

aichadiop2021

Config files for my GitHub profile.

alpinehelloworld

An Alpine-based Docker example

angular-bootstrap-demo

Angular 7 & Bootstrap 4 Demo

angular-example-test

Created with StackBlitz ⚡️

angular-gettingstarted

Sample Angular application used in the "Angular: Getting Started" course: http://bit.ly/Angular-GettingStarted

angular-heros-list

Created with StackBlitz ⚡️

angular-http-communication-interceptors

Angular httpClient, CRUD operations, Interceptors, Testing http reqests

angular-kmafor

Created with StackBlitz ⚡️

angular-ngrx-gettingstarted

Materials for our Pluralsight course: Angular NgRx: Getting Started: http://bit.ly/AngularNgRx.

angular-project-rendez-vous

Created with StackBlitz ⚡️

angular-reactiveforms

Materials for my Pluralsight course: Angular Reactive Forms.

angular-routing

Materials for my Pluralsight course: Angular Routing.

anomaly-based-intrusion-detection

From our day Intrusion detection systems based on anomalies is one of the major problem in many fields such as application domain and domain research and even it is one of the most important field of research of recent time. It is very difficult to build an intrusion detection system (IDS ) capable of detecting a high intrusion rate with accuracy. We propose to improve this by using machine learning techniques (K-Means clustering of data) that will allow us to improve the detection of high intrusion rate and also a very low false positive while comparing the results obtained to the existing result.

anomaly-intrusion-detection

ansible-collection-webapp

ansible-expert-tp

ansible-solutec

ansible-webapp

playbook ansible expert

ansible_for_devops

ansible_role_webapp

app-java-maven

audio-classification

CNN-based audio classification and generation models in PyTorch

boilerplate-npm

A boilerplate for the freeCodeCamp curriculum.

bokeh

Interactive Web Plotting for Python

certified-kubernetes-administrator-course

Certified Kubernetes Administrator - CKA Course

cognitiveclass

computer-vision-for-crop-disease

coursera