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Ahmed Gad on Muck Rack

Ahmed Gad

Ottawa
As seen in: Medium, Nature, Wiley Online Library, Frontiers, MDPI, Taylor & Francis Online, The BMJ, Science Magazine, Towards Data Science, KDnuggets and
Data Scientist // Machine Learning Engineer // Book Author // Creator of PyGAD pygad.readthedocs.io

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Ahmed Gad’s Biography

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Ahmed Fawzy Gad is an Egyptian teaching assistant who received his M.Sc. degree in 2018 after receiving his 2015 excellent with honors B.Sc. in information technology from the Faculty of Computers and Information (FCI), Menoufia University, Egypt. Ahmed is interested in deep learning, machine learning, computer vision, and Python. He worked as a software engineer and consultant for machine learning projects. His aim is to add value to the data science community by sharing his writings and prepa…

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By Ahmed Gad
| github.com
Polished the recording-mode intro and outro screens, plus small layout fixes. What's new Cleaner intro and outro cards. The "get ready" card shown before a part, and the card shown after a part finishes, now animate in smoothly — the text no longer appears for a moment before its animation plays. The closing card gained a gentle animated geometric backdrop, a larger wordmark, and you can now leave it with a tap anywhere. Both cards fit any window.
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Search code, repositories, users, issues, pull requests...

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By Ahmed Gad
| github.com
A complete redesign of CoinTex with 60 levels across 6 worlds, a 2-player multiplayer mode, an auto-aiming gun to shoot monsters, and enemies that get harder as you go deeper (faster movement, monsters that take several hits and chase you, pulsing fire, and tighter time limits). It is built from a single Python and Kivy codebase and runs on Android, iOS, Linux, and Windows. Highlights: 6 worlds, 10 levels each, every level timed, with a star rating.
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Clinical and functional comparison of bone-patellar tendon-bone and hamstring tendon autografts in anterior cruciate ligament reconstruction:: A randomized controlled trial - Dialnet

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By Ahmed Gad, Walid Reda, Attia Elazab
| Dialnet - Universidad de La Rioja
The purpose of this study was to compare the clinical and functional outcomes of anterior cruciate ligament reconstruction (ACLR) using hamstring tendon (HT) and bone–patellar tendon–bone (BTB) autografts through a prospective randomized trial. Thirty-eight patients with isolated ACL injuries were randomized to undergo ACLR using either HT (n = 19) or BTB (n = 19) autografts. All procedures were performed using an anatomic single-bundle arthroscopic technique.
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