A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.

IDDM (Industrial, landscape, animate...), support DDPM, DDIM, PLMS, webui and multi-GPU distributed training. Pytorch实现，生成模型，扩散模型，分布式训练

[CNC G CODE] This librairy interprets G Code (FANUC) to give you a time estimation of machinning time and detailed data optimised for spreadsheet analysis.

제 4회 2023 연구개발특구 AI SPACK 챌린지 - 공기압축기 이상 판단

Industrial Intrusion Detection - A framework for protocol-independent industrial intrusion detection on top of IPAL.

Intrusion Detection Evaluation - A framework to evalute (Industrial) Intrusion Detection Systems.

Reinforcement Learning Toolbox

The Cattle-ID-Scanner is a Python-based tool designed for scanning and processing ear-tag information from cattle images.

ISAF aims to be a framework that provides the necessary tools for the correct security audit of industrial environments. This repo is a mirror of https://gitlab.com/d0ubl3g/industrial-security-auditing-framework.

Industrial/Enterprise and home IoT automation platform

A Minimalistic Automatic Framework for Chemometrics and Machine Learning

Author: Leopold Wambersie Thesis director: Claudiane Ouellet-Plamondon Department: Départment de genie de la construction, École de technologie supérieure, Montréal, Canada Funding from : Canada Research Chairs Programme This repository contains the code necessary to run the analyses presented in the paper "Developing a comprehensive account of em

Prediction Method of Key Indicators of Industrial Process based on Deep Learning

Inverse Kinematics of UR10e Industrial Robot

Parse and interface Standard Industrial Classification instances using the current UK SIC 2007 methodology.

User interface, for industrial pipe material specification, based on a specific fluid commodity property.

simulation of Bucket brigade in production lines.

Software for completing industrial projects