This repository is built for KNIME-CGA Geospatial Project, and the goal is to build Python-based nodes for geospatial analysis in KNIME Analytic Platform.

Workflow for LC-MS feature analysis and spatial mapping

Computer Aided Drug Design / Komputerowe Wsparcie Projektowania Leków

Credit Card Fraud Detection using different classifiers (RF, SVM, Naive Bayes, Logistic Regression, ...) on KNIME platform.

Chinese Herb Map miner for evidence based herbal medicine and new drug development

LipidHunter is capable to perform bottom up identification of lipids from LC-MS/MS and shotgun lipidomics data by resembling a workflow of manual spectra annotation. LipidHunter generates interactive HTML output with its unique six-panel-image, which provides an easy way to review, store, and share the identification results.

KNIME Image Processing Python Bindings

Wrkflows KNIME sviluppati nell'ambito del corso di Machine Learning del prof. Carlo Sansone, Università degli Studi di Napoli "Federico II", a.a. 2022-23

Fiji plugins for qualitative image annotations + analysis workflows for image-classification and data-visualization

Bayesian Optimization of SVM parameters with scikit-learn to be used in KNIME in Python-learner node

Bayesian optimization of RF via scikit in KNIME

Una soluzione in python per KNIME che rimpiazza i nodi Image reader, Image Calculator e Image Resizer

Data Mining for Insurance dataset with KNIME and Python.

Personal Storage Table Knime Nodes

Group Assignment BEMACS - Big Data and Databases 30416

Inteligencia de Negocio (IN) 2019-2020 Grado en Ingeniería Informática UGR

Python-based KNIME node implementing Word2Vec algorithms with Tensorflow

The iGrafx KNIME Mining Extension is an open-source tool for processing and analyzing data within the KNIME analytics platform. Built on the iGrafx P360 Live Mining Python SDK, it offers a range of nodes to streamline data fetching, and manipulation. This extension enables seamless integration into existing KNIME workflows.