AcademicContent
Computer-Science-Resources
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AcademicContent | Computer-Science-Resources | |
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1 | 1 | |
2,641 | 21 | |
0.5% | - | |
0.0 | 10.0 | |
4 months ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AcademicContent
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Microsoft-Build-Student-Developer-Drop-in-day
Write code to play the Microsoft Match Game. Our version of the popular card game where you have to find two cards with the same image to make a match. But in our Game, no two tiles are the same. You have to match up the tiles that contain the same subject matter using the A.I. power of Azure Cognitive Services to analyse the images on each tile and to determine what subject of each image is. You start with a set of tiles face down and you get to turn over two tiles at a time in order to match tiles in pairs, but, unlike the usual version of the matching game, you are not looking for two identical images. You have to use Microsoft’s Cognitive Services to understand exactly what the content of each tile image is. Then you need to find another tile with the same content. Interested in taking part watch he following introduction Video read the game instructions and join the AI Gaming Challenge
Computer-Science-Resources
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I have Created a repository for good resources for "Computer Science" for hacktober fest, interested people may contribute
here's the link for the same : https://github.com/shivanshsinghx365/Computer-Science-Resources
What are some alternatives?
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100LinesOfCode - Let's build something productive in less than 100 Lines of Code.
tutorials - Git Repo for Articles on Ergo Sum blog and the youtube channel https://www.youtube.com/channel/UCiie9CN--dazA7iT2sry5FA
algorithmica - A computer science textbook
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
rfsoc_studio - The Strathclyde RFSoC Studio Installer for PYNQ.