Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
GitHub

Interactive Image Background Remover

Interactive Background Remover is a user-friendly tool designed to remove backgrounds from images using a combination of interactive models (Segment Anything) and automatic whole-image models (such as ...
IEEE

RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model

Leveraging the extensive training data from SA-1B, the segment anything model (SAM) demonstrates remarkable generalization and zero-shot capabilities. However, as a category-agnostic instance ...
IEEE

MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images

Segment anything model (SAM) has been widely applied to various downstream tasks for its excellent performance and generalization capability. However, SAM exhibits three limitations related to remote ...