Popular GitHub Repositories for Machinery

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis

This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.

Time Series Anomaly detection. The monitored signal is made-up of machinery vibration sensor measurements.

AI-powered solution leveraging RAG to generate automated dashboards, insights, and reports from Industry 4.0 machinery data.

MicroAI™ is an AI engine that can operate on low power edge and endpoint devices. It can learn the pattern of any and all time series data and can be used to detect anomalies or abnormalities, make one step ahead predictions/forecasts, and calculate the remaining life of entities (whether it is industrial machinery, small devices or the like).

Final Year Project of Bachelors of Science (Computer Science). A Voice-Enabled-Urdu-Chatbot build using RASA specifically designed for farmers in Pakistan, they would be able to talk to Chatbot in Urdu Language and get to know the weather forecast for next week, Machinery prices, Fertilizers and Pesticides prices in Urdu Language.

Bearing Fault Diagnosis using ML Detecting and classifying bearing faults in rotating machinery using SVM, CNN, and LSTM with 96% accuracy.

Machinery Diagnostic Assistant: Enhancing Predictive Maintenance with GenAI

AccelGuard is a MATLAB framework for real-time anomaly detection using accelerometer data. It analyzes three-axis readings to detect irregularities like free falls or machinery faults, with applications in wearable devices, industrial monitoring, robotics, and IoT systems, ensuring safety and operational efficiency.

Building Assembler for my custom-built Arithmetic Computing Machinery from Computing Machinery from Scratch Project. I aim to develop a complete Instruction set that completely maps every possible Machine code instruction to the Assembly language.