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Electronic Stopping Power Neural Network predictor

Matlab neural network optimization algorithm matching program

Efficient CPU/GPU ML Runtimes for VapourSynth (API 4)

🚀 This article explores the architecture and working mechanism of Vision-Language Models (VLMs) such as GPT-4V. It explains how these models process and fuse visual and textual inputs using encoders, embeddings, and attention mechanisms.

Built and compared ANN vs CNN architectures on Fashion-MNIST, demonstrating the accuracy gains from convolutional layers over dense-only models.

Artificial neural network for detecting precipitation in lidar data for use with the Automatic Lidar and Ceilometer Framework (ALCF), described in “Ship-based lidar evaluation of Southern Ocean low clouds in the storm-resolving general circulation model ICON and the ERA5 and MERRA-2 reanalyses” by Kuma et al. (2025)

ML Course Solutions - Run them in Octave --GUI

Predicting obesity levels from lifestyle and health data using machine learning models and neural networks.

NeuroFlowStudio 🤖 — An interactive AI playground for exploring deep learning

Data Mining and Machine Learning in datasets

This project leverages machine learning, computer vision, and embedded systems to improve child safety in urban environments. Using Python, OpenCV, and CNNs, the system integrates real-time video analysis for child detection via CCTV, alerts using Arduino, and data processing on a laptop. The project aims to provide a comprehensive safety solution

Jednowarstwowa sieć neuronowa do klasyfikacji języka tekstu na podstawie częstości liter (implementacja od podstaw w Pythonie)