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Deep Learning projects sometimes look messy and don’t follow a certain structure. People get into the problem and compete over getting good results. Usually, given the nature of the task, we don’t get the time to think much about the project structure or the code modularity. After working with different deep learning projects and facing problems with files organization and code repetition, we came up with a simple project structure built with PyTorch.
An empirical analysis on policy-gradient methods vs. action-value based methods for control
A real-time learning of an off-policy RL control algorithm on a real robot(Create2).
Published in 2016 International Conference on Computational Science and Computational Intelligence, 2016
This paper studies the performance of different classifiers on the CIFAR-10 dataset, and builds an ensemble of classifiers to reach a better performance.
Published in ICML 2019 - Workshop on AI for Autonomous Driving, 2019
This paper introduces a real-time approach for 3D LiDAR semantic segmentation
Published in Germany, 2019
A pending patent. file number: de 10 2019 127 283.1.
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Teaching Assistant, The American University in Cairo, Department of Computer Science, 2014
This course covers fundamentals of computer science and basics of programming taught in C++ . My role included helping students through labs and office hours.
Instructor, Alama Initiative, Egypt, 2018
I volunteered to teach deep learning concepts for a group of 20 undergrad and grad students taking Coursera’s deep-learning specialization following up with their progress throughout the courses. This was done through a student-run initiative called ‘Alama’.
Teaching Assistant, University of Alberta, Department of Computing Science, 2019
This course covers computer vision tasks with deep learning, taught with PyTorch. My role included teaching a weekly lab on computer vision with deep learning bascis, and preparing the assignments/ quizzes.