Your all-in-one platform to build and use AI apps effortlessly on your own computer.

A machine learning project for detecting fraudulent transactions in fintech banking systems. Includes data preprocessing, feature engineering, and model evaluation.

Explore a variety of R-based data visualizations and models in this repository. Curated and crafted by a data enthusiast, these resources showcase the versatility of R in analytics and modeling.

An AI-driven solution for enhancing safety at construction sites. Utilises YOLOv8 for object detection to identify overhead hazards like heavy loads and steel pipes. Alerts are triggered if personnel are detected beneath these hazards. Dataset sourced from Taiwan's construction industry.

An image recognizer that recognizes 20 different shapes of Pasta.

FIFA data analysis involves examining data from the popular video game series developed by EA Sports. The dataset typically contains information about players, teams, attributes, ratings, and other relevant statistics. The objective of this analysis is to extract meaningful insights that help understand player performance, team dynamics, and etc.

A lambda function split preprocessed data into training and validation used for starting a training job within AWS SageMaker.

Backend desarrollado con Flask

House price prediction involves analyzing data points to estimate the value of a residential property using statistical techniques such as regression analysis and machine learning algorithms. It is useful for both buyers and sellers in making informed decisions based on market trends and property values.

Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected with the Insect Detect DIY camera trap.

Supervised ML - Regression Using Python This dataset was extracted and uploaded for the purpose of experimenting with and learning regression models for time prediction. There is also a lot of room for data cleaning, outliers in the data, and plenty of data to work with for more realistic model training, testing, and validation.

This GitHub repository contains a comprehensive project demonstrating image classification using TensorFlow and Keras on the CIFAR-10 dataset. The project covers various aspects of the machine learning pipeline, including data preprocessing, model building, training, evaluation, and visualization.

This GitHub repository contains a comprehensive project demonstrating image classification using TensorFlow and Keras on the CIFAR-10 dataset. The project covers various aspects of the machine learning pipeline, including data preprocessing, model building, training, evaluation, and visualization.

Dialogos: Pioneering Interactive Narratives and Language Proficiency with Enhanced AI in Unity

OneTrainer docker images for use in GPU cloud and local environments. Includes AI-Dock KDE Plasma desktop with GPU acceleration and audio for authentication and improved user experience.

Revolutionizing Kidney Cancer Detection: Harnessing AI to Predict Renal Cell Carcinoma.

Developing ChatBot [ open source ]

Sklearn, TensorFlow and PyTorch models for diverse ML tasks.