vid2vid

* This is a pytorch implementation method for the high-resolution such as 2048x1024.

* It is a photorealistic video-to-video translation.

* It can be used for turning semantic label maps into photo-realistic videos.

* It can also synthesize people talking from edge maps as well as generate the human bodies from different poses.

Google/python-fire

* Python Fire/ Google are a library enabling automatic generation of the command line interfaces (CLIs) from any Python object indefinitely.

* Python Fire is an easy and simple mans of creating a command line interfaces in Python.

* It is a helpful tool for developing as well as debugging Python code

* Python Fire helps in the exploration of the existing code or turning other people’s code into command line interfaces.

The System Design Primer

* The tool helps you learn on how to design scalable systems thus becoming an outstanding engineer.

* You can also learn from the so-called open-source community. It is an early draft that can be continually updated thus an open source project.

* There is Prep for the system design interview.

Astorfi/Deep-Learning-World

* This project is about introduction of the shortcut to researcher as well as the developers to find rich resources about the so-called Deep Learning.

* In this kind of repository, the resources are the target. Notably, the resources are well organized thus easy to allocate and use.

Tensor flow/models

* It bears diverse models to be deployed in Tensor Flow.

* The official models comprises of collection of different models that utilizes the Tensor Flow’s high-level APIs.

* They need to be perfectly monitored, tested, as well as kept to date to the current stable Tensor Flow API.

* The repository should be optimized to attain higher efficiency while maintaining its simplicity.

Chubin/cheat.sh

* The only and amazing cheat sheet you need.

* This is the combined access to the high quality community driven cheat sheets repositories globally.

* It is a simple curl/browser interface.

* It covers 56 programming languages, several DBMSes, and over 1000 Linux commands.

IEEEKeralaSection/rescuekerala

* This is website for managing rehabilitation of individuals disadvantaged in the 2018 Kerala Floods

* The instructions will give you copy of the Docker project up and running on your local machine, the development and testing functions

* Setting up a development environment

* Creating the migration files

* Running the tests

* Enabling the HTTPS connections

Kube-hunter

* Kube-hunter checks for security faults in Kubernetes clusters. The project was designed to raise awareness and transparency for security matters in Kubernetes environments.

* Where should I run kube-hunter?

* Scanning options- remote, internal and network scanning

* Active Hunting- exploring the vulnerabilities

* List of tests

* Output and deployment

Keras

* It is also known as the deep learning for humans

* Keras is an expert neural connection API, written in Python

* It can run easily on top of CNTK, Theano as well as Tensor Flow

* It is developed with a main focus on enabling fast experimentation.

* Guiding principles- User friendliness, Modularity Easy extensibility, and Work with Python

Nteract/papermill

* It is equipment meant for parameterizing, completing as well as scanning Jupyter Notebooks.

* Installation- python

* Installing In-Notebook bindings

* When parameterizing a Notebook, you need to title a cell with the label parameters.