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Name: Mohamed Khaled
Type: User
Twitter: Mohamed86093757
Location: 42 elsaid street/moharam bek/Alexandria
Name: Mohamed Khaled
Type: User
Twitter: Mohamed86093757
Location: 42 elsaid street/moharam bek/Alexandria
Deep Reinforcement Learning Nanodregree from Udacity
Use a Q Table to solve the Acrobot Environment from Open AI's Gym
A curated list of awesome computer vision resources
60daysofudacity
Bertelsmann-Scholarship-Data-Track #60DAYSOFUDACITY Challenge
Projects and exercises for the Udacity Computer Vision Nanodegree
This course is tailor made for an individual who wishes to transition quickly from an absolute beginner to a Computer Vision expert in a few weeks. The most difficult concepts are explained in plain and simple manner using code examples.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Code examples in pyTorch and Tensorflow for CS230
♊ Stanford CS230 : Deep Learning
Python version of GT/Udacity Introduction to Computer Vision quizzes
Content for Udacity's Data Analyst curriculum
Udacity Nanodegree by Kaggle.
Deep Learning Specialization by Andrew Ng on Coursera.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Modularized Implementation of Deep RL Algorithms in PyTorch
This repo contains the Udacity charity ML project which is an application on supervised machine learning
Tutorials, tools, and more as related to reverse engineering video games.
🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game
Quantium virtual internship program hosted by InsideSherpa
Intro to ML with Tensorflow Scholarship Program powered by Bertelsmann
Introduction to Computer Vision (Udacity Course)
This soccer database comes from Kaggle and is well suited for data analysis and machine learning. It contains data for soccer matches, players and teams from several European countries from 2008 to 2016. In this project I explored the data and performed data cleaning using python libraries like numpy, pandas, Matplotlib and others. I posed some research question on this data and performed EDA (Exploratory Data Analysis) to get answers and draw conclusions. Finally, I put some useful links and references which helped me completing this project.
Matplotlib 3.0 Cookbook, published by Packt
Speech Recognition with Python examples
Reinforcement Learning Algorithms with Python, Published by Packt
Utility Scripts for Solving Sonic 1
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.