Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
IEEE

Test-Time Medical Image Segmentation Using CLIP-Guided SAM Adaptation

Abstract: Test-time medical image segmentation is a critical component in clinical practice, enabling pre-trained medical segmentation models to effectively adapt unseen medical samples with potential ...
Democrat and Chronicle

Finger Lakes torture case, full cast of characters

Sam Nordquist’s torture and killing in New York’s Finger Lakes region — and an alleged coverup — have drawn in a sprawling cast of characters, police records show. The Democrat and Chronicle has been ...
Men's Journal

Before 'Avatar,' Sam Worthington Was Broke and Living in His Car: 'I Was Half-Assing It'

View post: The Mindset Trick That Helps Freeride Athletes Ski Confidently in Life-or-Death Runs View post: Jack Daniel’s Latest Distillery Series Release Is Its Sweetest Experiment Yet—and It'll Be ...
Democrat and Chronicle

TikTok romance turns to nightmare as a family searches for answers

Kayla Nordquist knew in her gut that something was wrong with her brother. The young trans man had flown out of state to New York to see a woman he met on TikTok and missed his flight home. She ...
Deadline.com

James Cameron And Sam Worthington On Their ‘Avatar: Fire And Ash’ Collaboration, The Declining Box Office And The Real Truth About AI

James Cameron and Sam Worthington at the LA premiere of 'Avatar: Fire and Ash' Charley Gallay/Getty Images for 20th Century Studios At an early LA screening of James Cameron’s Avatar: Fire and Ash, ...
Gizmodo

‘Avatar: Fire and Ash’ Is Completely Insane in the Best Possible Way

James Cameron's new film, starring Sam Worthington, Zoe Saldaña, Sigourney Weaver, and Stephen Lang, is in theaters December 19. Reading time 5 minutes Avatar: Fire and Ash is insane. There’s just no ...
GitHub

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation

Few-shot Adaptation of Training-frEe SAM (FATE-SAM) is a versatile framework for 3D medical image segmentation that adapts the pretrained SAM2 model without fine-tuning. By leveraging a support ...