Explore live open-source projects and AI models.

A collection of 19 generative AI projects in Python, showcasing applications in text generation, image synthesis, and chatbots using frameworks like Transformers and PyTorch. Includes datasets, code, and tutorials for building and deploying cutting-edge AI models.

KUMPULAN CODE TERMUX LENGKAP | SPAM CHAT WHATSAPP || nggk usah nyepam gw -_* atau hp lu gw ledakin!!#@vms $ pkg update && pkg upgrade Setelah mengupdate dan mengupgrade termux ketikan perintah berikut : $ pkg install python2 (y/n pilih y) $ pkg install php (y/n pilih y) $ pkg install git (y/n... Read more

📖 OpenCV-Python image processing tutorial for beginners

Quickstart tutorial Prerequisites Before reading this tutorial you should know a bit of Python. If you would like to refresh your memory, take a look at the Python tutorial. If you wish to work the examples in this tutorial, you must also have some software installed on your computer. Please see... Read more

This small tutorial is targeted at researchers that have basic machine learning and Python programming skills that want to implement instance image segmentation for further use in their models.

🛰️ Python-powered remote sensing toolkit for Earth observation! From satellite image processing to feature extraction, explore advanced raster analysis techniques and unlock geospatial insights using machine learning and computer vision. Level up your remote sensing skills with hands-on tutorials... Read more

Overlay a GeoTiff raster data on Interactive map created by folium python. This tutorial will finish three tasks: (1) Export a NetCDF data to a time series of geotiff images.; (2) Overlay a geotiff raster onto an interactive map created by folium python; (3) Create a custom OpenStreetMap tile ser... Read more

Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences

This repository provides Python code and tutorials for simulating motion blur in images and restoring them using spatial and frequency domain techniques. Explore motion blur effects, apply blur in both domains, and restore original images. Ideal for image processing and computer vision projects.