Deep Learning with Yacine on MSN

Adam optimizer from scratch in Python – step-by-step tutorial

Learn how to build the Adam optimizer from scratch in Python. Perfect for beginners who want to understand how modern ...
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 ...
archive

Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models

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GitHub

Active Learning for Text Classification in Python.

Small-Text provides state-of-the-art Active Learning for Text Classification. Several pre-implemented Query Strategies, Initialization Strategies, and Stopping Criteria are provided, which can be ...
GitHub

kyleskom/NBA-Machine-Learning-Sports-Betting

A machine learning AI used to predict the winners and under/overs of NBA games. Takes all team data from the 2007-08 season to current season, matched with odds of those games, using a neural network ...
IEEE

Towards Personalized Federated Learning

Abstract: In parallel with the rapid adoption of artificial intelligence (AI) empowered by advances in AI research, there has been growing awareness and concerns of data privacy. Recent significant ...
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 ...