Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
GitHub

Azure-Python-Engineer/Compose-SwiftUI-GitHub-Search

Repository files navigation GithubSearch Github Repos Search - Kotlin Multiplatform Mobile using Jetpack Compose, SwiftUI, FlowRedux, Coroutines Flow, Dagger Hilt, Koin Dependency Injection, shared ...
IEEE

Toward Physician-Level Performance in Robot-Assisted Ankle Rehabilitation via Imitation Learning With Empirical and Temporal Adaptation

Abstract: Robot-assisted ankle rehabilitation training imitating physician’s professional techniques is highly important for promoting personalized training and improving clinical outcomes. In this ...
Scientific Research Publishing

Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., et al. (2020) SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...
IEEE

A Highly Fault-Tolerant Distribution Network Fault Diagnosis Method Based on KMP Algorithm and Rough Set

Abstract: Currently, the use of multi-source fault telemetry data in distribution networks is becoming a mainstream method to diagnose faults in distribution networks, but the results are often ...
GitHub

Hands-on Algorithmic Problem Solving

In short, this is a middle-to-high level algorithm book designed with cracking coding interviews at hearts. It offers a one-stop coding interview prep experience. The structure of the book: (1) math ...