machine-learning

Predicts wine quality using a fine-tuned LightGBM model. It includes data preprocessing, model training, and evaluation, with experiment tracking and model management using MLflow.

Explores the effectiveness of various pre-trained Convolutional Neural Networks (CNNs) for classifying brain MRI images as containing a tumor or not.

Finally a smart RSS reader which doesn't suck ass or your data.

This is a combination of a segmentation model and a detection model trained on seated Buddha Statue dataset collected from Google Images based on YOLO v8. This can be used to segment seated Buddha Statue objects from images, and then add a mask to the statue head. This is expected to be used as inputs to an inpainting work based on GAN.

Ultralytics Python Project Template

Fast Flexible Replay Buffer Library

Data Science / Machine Learning Pipeline component for training and deploying ML models using CI

This project is designed to analyze text for the presence of sarcasm. It uses machine learning models to classify input text and determine whether it contains sarcasm.

The project utilizes the following technology stack:

FastAPI - for creating the API interface and handling requests Docker - for packaging the application and its dependencies into a container Machine learning models for text sarcasm classification

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.

Pulmo is a web-based application that provides an easy-to-use interface for users to input their medical history and other relevant data to get a prediction of their risk of developing lung cancer. The project has also highlighted the importance of data preprocessing and feature selection in improving the performance of machine learning algorithms. Exploratory data analysis was also useful in identifying the most relevant features for predicting lung cancer.

Classifier to assign label to particle

A Python library for Secure and Explainable Machine Learning

Documentation available @ https://secml.gitlab.io

Follow us on Twitter @ https://twitter.com/secml_py

Source code for the article "How to create a Simple Captcha Resolver". Link to my blog: https://daemn.blogspot.com/

Complete Conjugation of any Verb in French, Spanish, Catalan, Portuguese, Italian and Romanian powered by Machine Learning

A Ghidra plugin that renames variables based on machine learning predictions.

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

Example project for calculating and publishing LLM metric with DVC and CML

This project aims to develop a robust and interpretable machine learning model for early detection of cyberattacks within network systems. By analyzing network traffic data and identifying patterns associated with malicious activities, the model strives to improve network security and prevent potential cyber threats.