๐ JaidedAI/EasyOCR โ an open-source Python library for Optical Character Recognition (OCR) that's easy to use and supports over 80 languages out of the box.
### ๐ Key Features:
๐ธ Extracts text from images and scanned documents โ including handwritten notes and unusual fonts
๐ธ Supports a wide range of languages like English, Russian, Chinese, Arabic, and more
๐ธ Built on PyTorch โ uses modern deep learning models (not the old-school Tesseract)
๐ธ Simple to integrate into your Python projects
### โ Example Usage:
### ๐ Ideal For:
โ Text extraction from photos, scans, and documents
โ Embedding OCR capabilities in apps (e.g. automated data entry)
๐ GitHub: https://github.com/JaidedAI/EasyOCR
๐ Follow us for more: @DataScienceN
#Python #OCR #MachineLearning #ComputerVision #EasyOCR
### ๐ Key Features:
๐ธ Extracts text from images and scanned documents โ including handwritten notes and unusual fonts
๐ธ Supports a wide range of languages like English, Russian, Chinese, Arabic, and more
๐ธ Built on PyTorch โ uses modern deep learning models (not the old-school Tesseract)
๐ธ Simple to integrate into your Python projects
### โ Example Usage:
import easyocr
reader = easyocr.Reader(['en', 'ru']) # Choose supported languages
result = reader.readtext('image.png')
### ๐ Ideal For:
โ Text extraction from photos, scans, and documents
โ Embedding OCR capabilities in apps (e.g. automated data entry)
๐ GitHub: https://github.com/JaidedAI/EasyOCR
๐ Follow us for more: @DataScienceN
#Python #OCR #MachineLearning #ComputerVision #EasyOCR
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Are you preparing for AI interviews or want to test your knowledge in Vision Transformers (ViT)?
Basic Concepts (Q1โQ15)
Architecture & Components (Q16โQ30)
Attention & Transformers (Q31โQ45)
Training & Optimization (Q46โQ55)
Advanced & Real-World Applications (Q56โQ65)
Answer Key & Explanations
#VisionTransformer #ViT #DeepLearning #ComputerVision #Transformers #AI #MachineLearning #MCQ #InterviewPrep
โ๏ธ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk๐ฑ Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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๐ Comprehensive Guide: How to Prepare for an Image Processing Job Interview โ 500 Most Common Interview Questions
Let's start: https://hackmd.io/@husseinsheikho/IP
#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics
Let's start: https://hackmd.io/@husseinsheikho/IP
#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics
โ๏ธ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk๐ฑ Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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๐ Comprehensive Guide: How to Prepare for a Graph Neural Networks (GNN) Job Interview โ 350 Most Common Interview Questions
Read: https://hackmd.io/@husseinsheikho/GNN-interview
#GNN #GraphNeuralNetworks #MachineLearning #DeepLearning #AI #DataScience #PyTorchGeometric #DGL #NodeClassification #LinkPrediction #GraphML
Read: https://hackmd.io/@husseinsheikho/GNN-interview
#GNN #GraphNeuralNetworks #MachineLearning #DeepLearning #AI #DataScience #PyTorchGeometric #DGL #NodeClassification #LinkPrediction #GraphML
โ๏ธ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk
๐ฑ Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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#Python #OpenCV #Automation #ML #AI #DEEPLEARNING #MACHINELEARNING #ComputerVision
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๐ฃ๐ฟ๐ฒ๐ฝ๐ฎ๐ฟ๐ฒ ๐ณ๐ผ๐ฟ ๐๐ผ๐ฏ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐๐.
In DS or AI/ML interviews, you need to be able to explain models, debug them live, and design AI/ML systems from scratch. If you canโt demonstrate this during an interview, expect to hear, โWeโll get back to you.โ
The attached person's name is Chip Huyen. Hopefully you know her; if not, then I can't help you here. She is probably one of the finest authors in the field of AI/ML.
She designed proper documentation/a book for common ML interview questions.
Target Audiences: ML engineer, a platform engineer, a research scientist, or you want to do ML but donโt yet know the differences among those titles.Check the comment section for links and repos.
๐ link:
https://huyenchip.com/ml-interviews-book/
๏ปฟ
https://t.me/CodeProgrammer๐
In DS or AI/ML interviews, you need to be able to explain models, debug them live, and design AI/ML systems from scratch. If you canโt demonstrate this during an interview, expect to hear, โWeโll get back to you.โ
The attached person's name is Chip Huyen. Hopefully you know her; if not, then I can't help you here. She is probably one of the finest authors in the field of AI/ML.
She designed proper documentation/a book for common ML interview questions.
Target Audiences: ML engineer, a platform engineer, a research scientist, or you want to do ML but donโt yet know the differences among those titles.Check the comment section for links and repos.
https://huyenchip.com/ml-interviews-book/
#JobInterview #MachineLearning #AI #DataScience #MLEngineer #AIInterview #TechCareers #DeepLearning #AICommunity #MLSystems #CareerGrowth #AIJobs #ChipHuyen #InterviewPrep #DataScienceCommunit
๏ปฟ
https://t.me/CodeProgrammer
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