Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Predviđanje rezultata telemarketinga

This repository build to showcase a project on customer personality analysis. In this I have classified the customer into two clusters.

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

[ICML 2024] Selecting Large Language Model to Fine-tune via Rectified Scaling Law

Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

EvalML is an AutoML library written in python.

[ICDE 2024] a Web-app for Evaluation of Model selection for Anomaly Detection in Time Series

Regression model building and forecasting in R

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Explore Mistral AI's extensive collection of models. Learn to select, prompt, and integrate Mistral's open-source and commercial models for tasks like classification, coding, and Retrieval Augmented Generation (RAG).

A project designing and evaluating the fairness of a predictive model for arrest decisions using the North Carolina Policing Dataset. The study compares logistic regression, KNN, and fine-tuned KNN to ensure high accuracy and fairness in predictions based on gender, age, and race.

A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

ML hyperparameters tuning and features selection, using evolutionary algorithms.

A machine learning method to determine the age of abalone from physical measurements of size and weight

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery