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 ...
XDA Developers on MSN

3 Python libraries that manage my computer for me better than I ever could

This Python library lets Python read system-level data like CPU usage, memory pressure, disk activity, battery drain, and ...
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Data 2026 outlook: The rise of semantic spheres of influence

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.
GitHub

PROFIS: Design of target-focused libraries by probing continuous fingerprint space with recurrent neural networks

In order to retrain the latent classifier, you have to provide an appropriate dataset. Load your data into a pandas.DataFrame object. The dataframe must contain the following columns: 'smiles' - ...
IEEE

Overcoming the Spectral Bias Problem of Physics-Informed Neural Networks in Solving the Frequency-Domain Acoustic Wave Equation

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...
IEEE

Automated and Simplified Waste Segregation System Using Convolutional Neural Networks and Python

Abstract: This study introduces a novel strategy for waste segregation employing Convolutional Neural Networks (CNNs) and Python programming. By harnessing CNNs’ image feature extraction capabilities, ...