nim Composition Space Optimization is a high-performance tool leveraging metaprogramming to implement several methods for selecting components (data dimensions) in compositional datasets, as to optimize the data availability and density for applications such as machine learning.

A Python tool to identify and remove similar-looking images from a dataset. Utilizes image preprocessing and hashing techniques for efficient comparison.

Morphia is a powerful library designed for transforming complex JSON structures into compact, index-based arrays and back. Ideal for efficient data serialization and deserialization, Morphia simplifies the handling of nested and dynamic data by flattening JSON objects into arrays and reconstructing them with precision.

Highlighting expertise in data migration, data normalization and standardization, this project demonstrates successful data transfer from Snowflake to Databricks. It emphasizes optimized data flow and enhanced accessibility through standardization, showcasing a commitment to ethical data practices.

Lobster data analysis and modelling using Python

Data Optimization, data Cleaning, data Processing, hypotheses

UI website for the ESAT Team 5A2 Smart Grid Data Project

interface to ADAO (Data Assimilation and Optimization features in Python ) in SALOME

This project analyzes historical weather data to identify patterns and predict future weather conditions, focusing on extreme events and temperature trends across Europe.

Official Tensorflow implementation for ActiveTCR: Active Learning Framwork for Cost-Effective TCR-Epitope Binding Affinity Prediction