Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

In this Project we classify different categories of Flowers using a Pre-Trained model and also using the functionality of Streamlit Application to build an API or frontend for the Project along with the various libraries of python for proper functioning of Model.

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

Evolutionary Algorithms Framework

scripts used for neural decoding of single and multi unit auditory cortex data

Codes and projects used in the machine learning course.

Ecommerce analysis from various dimensionals

Collections of Projects in the Domain of Data Science and Machine Learning

A software tool for creating musical gesture datasets and real-time recognition of musical gestures based on live audio input.

pythom implementation of the Fermi-Dirac ensemble learning (FiDEL) method

TaxTriage is a Nextflow workflow designed to agnostically identify and classify microbial organisms within short- or long-read metagenomic NGS data. This flexible tool was developed with various use-cases of mNGS in mind.

NLP Hands-On Sessions repository for University-level laboratory on Natural Language Processing (NLP) and Machine/Deep Learning techniques applied to NLP tasks and use-cases..

Neural Network Compression Framework for enhanced OpenVINO™ inference

Developed a deep learning model using TensorFlow and CNN to accurately identify diseases in potato plants, optimizing crop health and yield. The model distinguishes between diseases such as early blight, late blight, and healthy plants from images with precision.

We write your reusable computer vision tools. 💜

autoupdate paper list

Forecasting the Adoption Process of Technology Using ML Methods

This is the official PyTorch implementation of Structure Embedded Nucleus Classification for Histopathology Images

This project aims to recognize the weather from a given image.

Cultivating yield with an intelligent crop recommendation system