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-introduction-to-tensorflow-for-artificial-intelligence-machine-learning-and-deep-learning

100daysofdevops

3dstyletransfer

We apply a hybrid generational adversarial model for style transfer upon underlying 3D scene structures such as voxel grids and meshes.

90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

academy

DevOps content, classes and exercises

ai-for-everyone--quiz-ans

ai-for-everyone-quiz-ans

Here is the solved quiz for AI for Everyone course on Coursera

aicamera-style-transfer

Neural Style Transfer with Caffe2 on your Android phone

android-tensorflow-style-transfer

Based on tensorflow's style transfer Android project.

android-tensorflow-style-transfer-1

An Android app built with an artistic style transfer neural network

angular4-mean-starter

A very neat and simple starter kit for an angular2/4/5 MEAN app.

angular5tutorials

appium

:iphone: Automation for iOS, Android, and Windows Apps.

awesome-learning

A curated list for DevOps learning resources. Join the slack channel to discuss more.

bash-oneliner

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

book

The Rust Programming Language

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

course-udemy---linux-academy---aws-essentials

Udemy - Linux Academy - AWS Essentials

coursera

coursera-1

✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork

coursera-2

Quiz & Assignment of Coursera

coursera-aml-docker

Docker container with Jupyter Environment for Coursera "Advanced Machine Learning" specialization.

coursera-deeplearning-specialization

Homework from the deeplearning.ai Deep Learning Specialization on Coursera

coursera-deeplearning.ai-sequence-models-course-5

coursera-machine-learning

Coursera's Machine Learning by Andrew Ng

coursera-neural-networks-and-deep-learning

About this Course If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning. When you finish this class, you will: - Understand the major technology trends driving Deep Learning - Be able to build, train and apply fully connected deep neural networks - Know how to implement efficient (vectorized) neural networks - Understand the key parameters in a neural network's architecture This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. This is the first course of the Deep Learning Specialization.

coursera_deep_learning_specialization

Jupyter_Notebook solutions for the deep learning course on Coursera

daru-view

daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com