fa
Feedback
Machine Learning lab

Machine Learning lab

رفتن به کانال در Telegram

Welcome to Machine Learning Lab! Explore machine learning and data science with discussions, tutorials, and resources. Discover insights in ML approaches, Projects and practical applications. Admin: @kian_bd

نمایش بیشتر
929
مشترکین
اطلاعاتی وجود ندارد24 ساعت
اطلاعاتی وجود ندارد7 روز
+1630 روز
آرشیو پست ها
Visual blocks is an amazing tool from our friends at Google that allows you to easily create and experiment with machine learning pipelines using a visual interface. Link: https://github.com/huggingface/visual-blocks-custom-components

#computer_vision #python #libabry #machine_learning
#computer_vision #python #libabry #machine_learning

Vision-Language Pre-training: Basics, Recent Advances, and Future Trends #Microsoft #Vision_language

Image classification is the task of assigning a label or class to an entire image. Images are expected to have only one class for each image. Image classification models take an image as input and return a prediction about which class the image belongs to. Source: https://huggingface.co/tasks/image-classification

The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Link: https://www.cancerimagingarchive.net/

I wanted to share something special with you. In addition to my passion for medical image processing, I have recently started a YouTube channel dedicated to drone videos! 🎥✨ On this channel, I share stunning aerial footage, tips for drone enthusiasts, and more. If you enjoy beautiful landscapes and innovative technology, I think you'll love it! 🌟 Check out my latest video, Like and subscribe to my channel here: https://www.youtube.com/watch?v=I1mzggX6VAw&t=3s Your support means a lot to me. Please consider subscribing, liking the videos, and leaving a comment if you enjoy the content. It helps the channel grow and reach more people who share our interests.

Innovators Uniting to Shape the Future of Healthcare Our event showcases two power-packed panels featuring the brilliant minds of David Lapointe (Optina Diagnostics), Negin Ashouri (FemTherapeutics), Houman Savoji (University of Montreal), Mojtaba Khomami Abadi (Noze), and Sahar Ansary (Fundica). Dive into the conversations that are defining the next frontier in health technology. Join us to be inspired, connect, and collaborate with the leaders driving innovation. Registration link: https://lu.ma/txa8j4az

Machine learning and deep learning approach for medical image analysis: diagnosis to detection Published: 24 December 2022 #Machine_Learning #Deep_Learning #Medical_Image_Processing