A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"

Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.

Real-time fraud detection system using ensemble ML models, featuring streaming data processing, explainable AI with SHAP, and production-ready deployment with FastAPI and Docker.

This project classifies diseases in grape plant using various Machine Learning classification algorithms.

Face Morphing Attack Detection Benchmark (IJCB 2022: Robust Ensemble Morph Detection with Domain Generalization)

Flexible and transparent Python Boruta implementation

The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.

An Algorithmic Information Theory Library (And Information-theory broadly); Implements numerous approximations, estimations, as well as a comprehensive MC-AIXI Agent & Model Ensemble platform.

UC Berkeley Legal Studies 123 Spring 2022

Predict the Position of a Player Based on his skills and group the players based on their similarities.

f1 race winner predictor

Repository contains Customer Lifetime Value Prediction for Automobile Insurance Company in USA

Programming assignments completed in the PG Program for AI ML

An ensemble of BERTs for classifying injury narratives

This project is focused on end to end application of Machine Learning methodologies to achieve best predicting accuracy. Our goal is to predict churn rate of customers for a telecom service provider based on service charges and usage data of customer.

UBayFS implements the UBayFS feature selection framework, together with an interactive Shiny dashbord.

Advanced Data Assimilation Algorithms and Methods

[In Progress] Code for the paper-- MTDeep: boosting the security of deep neural nets against adversarial attacks with moving target defense

Developed a robust machine learning model (XGBoost), to demonstrate how data science can directly support energy optimization, sustainability goals, and cost-effective production planning.

A repository about Robust Deep Neural Networks with Uncertainty, Local Competition and Error-Correcting-Output-Codes in TensorFlow.