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When hosting our web applications, we often have one public IP
address (i.e., an IP address visible to the outside world)
using which we want to host multiple web apps. For example, one
may wants to host three different web apps respectively for
example1.com, example2.com, and example1.com/images on
the same machine using a single IP address.
How can we do that? Well, the good news is Internet browsers
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Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
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Inject an Authorization header into a redux-api-middleware request with a Redux middleware.
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How to serve a custom HTTPS domain on GitHub Pages with CloudFlare: *FREE*, secure and performant by default
Instructions
CloudFlare is an awesome reverse cache proxy and CDN that provides DNS, free HTTPS (TLS) support, best-in-class performance settings (gzip, SDCH, HTTP/2, sane Cache-Control and E-Tag headers, etc.), minification, etc.
Make sure you have registered a domain name.
Sign up for CloudFlare and create an account for your domain.
From the CloudFlare settings for that domain, enable HTTPS/SSL and set up a Page Rule to force HTTPS redirects. (If you want to get fancy, you can also enable automatic minification for text-based assets [HTML/CSS/JS/SVG/etc.], which is a pretty cool feature if you don't want already have a build step for minification.)
Building TensorFlow from source (TF 2.3.0, Ubuntu 20.04)
Why build from source?
The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install.
If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.
I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).
So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht
docker-compose file to setup production-ready sonarqube
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