Popular GitHub Repositories for Trusted Manufacturing

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

A unified framework for privacy-preserving data analysis and machine learning

Interpretability and explainability of data and machine learning models

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

TrustRAG：The RAG Framework within Reliable input,Trusted output

Production-Grade ML System for Automated Unit of Measure Error Detection | 88-92% Accuracy | 94% Autonomy | KNIME Workflow

An Open Framework for Federated Learning.

An Open Framework for Federated Learning.

API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.

Additive manufacturing simulation with JAX.

Fail CI when dependencies in your lockfile lose npm provenance or trusted publisher status

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

Differentiable Computational Lithogrpahy Framework

A curated list of datasets, publically available for machine learning research in the area of manufacturing

Image anomaly detection benchmark in industrial manufacturing

Fast-track AI innovation with a centralized, trusted, curated registry

I have built the computer vision models in 3 different ways addressing different personas, because not all companies will have a resolute data science team. quality-control manufacturing big-data-analytics jupyter-notebook cognitive services industry solutions