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Name: Mohammad Diab
Type: User
Bio: I am passionate about programming , software engineering , machine / deep learning and computer vision
Location: Cairo - Egypt
Name: Mohammad Diab
Type: User
Bio: I am passionate about programming , software engineering , machine / deep learning and computer vision
Location: Cairo - Egypt
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A curated list of awesome places to learn and/or practice algorithms.
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
My submission from Boston Houses Prices
🤓 Build your own (insert technology here)
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.
:mortar_board: Path to a free self-taught education in Computer Science!
Coursera specializations road map for computer science students.
Notebook for quick search
This repository is my Solutions to Data structures and Algorithms course by Dr. Mostafa Saad
Public facing notes page
:bar_chart: Path to a free self-taught education in Data Science!
Cheat Sheets
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Hands-on in-person workshop for Deep Learning with TensorFlow
A collection of useful .gitignore templates
This guide provides tips and resources to help you develop your technical skills (academically and non-academically) through self-paced, hands-on learning. This guide is intended for Computer Science students seeking an internship or university grad role at Google.
Github mirror of M. Zinkevich's "Rules of Machine Learning" style guide, with extra goodness.
all about data science
This is the curriculum for "Learn Physics in 2 Months" by Siraj Raval on Youtube
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.