GithubHelp home page GithubHelp logo

kvssetty / dl-notebooks Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 24 KB

This is the repository where you can find Machine Learning and Deep Learning tutorial Jupyter Notebooks which are Binder compatible .

Jupyter Notebook 100.00%

dl-notebooks's Introduction

Deep Learning Notebooks

KV Subbaiah Setty

This repository contains notebooks and other files associated with my Deep Learning Tutorials primarily using keras, PyTorch. , TensorFlow2.0

Installation Notes

This tutorial requries the following packages:

The easiest way to get these is to use the anaconda or miniconda environment distribution. I suggest downloading and installing anaconda the easiest way, as most of the packages pre installed and you can start my tutorials immediatly.

Downloading the Tutorial Materials

I would highly recommend using GitHub Desktop if you are on Windows, not only for this tutorial, but for the general betterment of your life. Once GitHub Desktop is installed, you can clone the material in this tutorial by using the git address shown above or use the command line tool after installing just git:

git clone
git://github.com/KVSSetty/ML-DL-notebooks-on-Binder.git

If you can't or don't want to install any of the packages including python, anaconda and git. there is a link (button) below to directly reach the tutorial notebooks in your browser. Yes it is true run python code without installing python in your system. It is not Magic. Try it !

Binder Compatible DL and ML Notebooks

In this repository you will find few Machine Learning and Deep Learning tutorials written by me. And they are Binder compatible so you can use these interactive and reproduceible notebooks with the given binder link or Binder-Launch icon and use it without installing any other software including python and jupyter on your system. The only needed tool is a latest version Internet browser in your system..

Binder

dl-notebooks's People

Contributors

kvssetty avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.