AcademicContent VS computervision-recipes

Compare AcademicContent vs computervision-recipes and see what are their differences.

AcademicContent

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons. (by microsoft)
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AcademicContent computervision-recipes
1 1
2,641 9,115
0.5% -
0.0 3.9
4 months ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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

Posts with mentions or reviews of AcademicContent. We have used some of these posts to build our list of alternatives and similar projects.
  • Microsoft-Build-Student-Developer-Drop-in-day
    1 project | dev.to | 25 May 2022
    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

computervision-recipes

Posts with mentions or reviews of computervision-recipes. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing AcademicContent and computervision-recipes you can also consider the following projects:

FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

fastdup - fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

ITC - Computer Science coursework and projects at Tec de Monterrey 👨‍🎓

VIAME - Video and Image Analytics for Multiple Environments

Computer-Science-Resources - This repository aims at providing the best resources for computer science students at one place. So they don't have to waste their precious time finding good resources.

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

tutorials - Git Repo for Articles on Ergo Sum blog and the youtube channel https://www.youtube.com/channel/UCiie9CN--dazA7iT2sry5FA

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

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.

smletsexchangeconnector - SMLets PowerShell based Exchange Connector for controlling Microsoft System Center Service Manager 2016+

ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.