Mohamed Zahran's repositories
Papers-Implementation-Tracking
Papers Implementation Tracking
A_Guide_to_Running_Tensorflow_Models_on_Android
This is the code for"A Guide to Running Tensorflow Models on Android" By SIraj Raval on Youtube
awesome-visual-slam
:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
Build-My-World
First project in Robotics Software Engineer nanodegree
coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
CppND-Traffic-Simulation
Traffic simulation using multithreading for the C++ Nanodegree
darknet
Convolutional Neural Networks
DeepMapping
code/webpage for the DeepMapping project
FCND-Backyard-Flyer
Flying Car Nanodegree nd787
highway-driving
Udacity selfdriving car project
Home-Service-Robot-Project
Home service robot programmed to autonomously map an environment and navigate to pickup and deliver objects. Udacity RoboND Project: Home Service Robot.
interview
Everything you need to prepare for your technical interview
kepler-mapper
KeplerMapper is a Python class for visualization of high-dimensional data and 3-D point cloud data.
keras-contrib
Keras community contributions
line_intersection
Detecting line segment intersections using the sweepline algorithm in Python.
mo-zahran.github.io
Mohamed Zahran fork
MobileNet
MobileNet implementation in TensorFlow
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reverse-interview
Questions to ask the company during your interview
RoboND-Term1-P4-Map-My-World
Project 4 of Udacity Robotics Software Engineer Nanodegree
RoboticsND-Go-Chase-It
Project #2 for Udacity's Robotics Nanodegree - Go Chase It
superpoint_graph
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Udacity-CarND-Behavioral-Cloning-Final
Term 1, Project 3 - Udacity Self Driving Car Nanodegree
Udacity-ND113-Matrix-Class
Matrix Class Implementation Project from the Udacity Intro to Self-Driving Cars Nanodegree.
vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.