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TensorFlow Serving in 10 minutes!

TensorFlow SERVING is Googles' recommended way to deploy TensorFlow models. Without proper computer engineering background, it can be quite intimidating, even for people who feel comfortable with TensorFlow itself. Few things that I've found particularly hard were:

  • Tutorial examples have C++ code (which I don't know)
  • Tutorials have Kubernetes, gRPG, Bezel (some of which I saw for the first time)
  • It needs to be compiled. That process takes forever!

After all, it worked just fine. Here I present an easiest possible way to deploy your models with TensorFlow Serving. You will have your self-built model running inside TF-Serving by the end of this tutorial. It will be scalable, and you will be able to query it via REST.

@genomics-geek
genomics-geek / README.md
Last active January 10, 2024 15:27
Setting up a Dockerized web application with Django REST APIs, ReactJS with Redux pattern, and Webpack Hot Reloading! Mouthful.

Guide on how to create and set up a Dockerized web app using Django REST APIs and ReactJS

Hopefully this will answer "How do I setup or start a Django project using REST Framework and ReactJS?"

This is a guide to show you step by step how this can be setup. If you just want to get started, use the cookiecuter I set up cookiecutter-django-reactjs. It basically is a fork of pydanny's cookiecutter, just added the front-end stuff :).

I created this because it was SUCH a pain in the ass setting up a project using all the latest technologies. After some research, I figured it out and have it working. The repo that implements this is located here. Feel free to use it as a boilerplate ;)

Main features:

  • Django REST APIs
@thepacketgeek
thepacketgeek / 07-arp_monitor.py
Last active May 31, 2018 20:32
Scapy - Monitor ARP traffic on network with custom console output
from scapy.all import *
def arp_display(pkt):
if pkt[ARP].op == 1: #who-has (request)
return "Request: " + pkt[ARP].psrc + " is asking about " + pkt[ARP].pdst
if pkt[ARP].op == 2: #is-at (response)
return "*Response: " + pkt[ARP].hwsrc + " has address " + pkt[ARP].psrc
print sniff(prn=arp_display, filter="arp", store=0, count=10)