Our machine learning project focuses on building and evaluating predictive models for cab fare prediction. We perform extensive data processing, cleaning, and feature extraction to prepare the dataset for model training. This project aims to predict cab fares accurately based on various input parameters such as location, no. of passengers and time.

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

Some interesating solutions for a "python being"

Landing page for MooersLab repository

DAWNet server infrastructure. It includes the API Server, WebSocket Server, and Docker Compose setup

🧷 • Forked AxemDev Library opensource colab

Library of PyMOL Python snippets for Google Colab.

An interactive toolbox for downloading satellite imagery, applying image segmentation models, mapping shoreline positions and more. The mapping extension for CoastSat and Zoo.

An alternative Minecolab project. Orginal: https://github.com/thecoder-001/MineColab

Flexible Feature visualization on PyTorch, for research and art 🔎 💻 🧠 🎨

C++ Implementation of PyTorch Tutorials for Everyone

Merges latent diffusion models at a user-defined ratio

Study about Artificial Intelligence 🤖, Machine Learning 🚀, and Deep Learning 🧬. Plus, Electrical Engineering ⚡ and Computer Science 💻.

Finetune Llama 2 on Colab for free on your own data: step-by-step tutorial

Applying Evolutionary Computing to Diffusion Models. (Masters Thesis)

Corso Applicazioni Energetiche dei Materiali: Esercitazione ML

Energy Storage course: practical exercise on the simulation of lithium ion batteries

Dropbear SSH (tweaked for restricted containers)

Repositorio con archivos de clase. HERRAMIENTAS DE CÁLCULO Y SIMULACIÓN DE PROCESOS DINÁMICOS 2024.