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A Collection of Machine Learning algorithms built for use with NodeJS

Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.

🚃 Machine 🚋 Learning 🚟 a curated 🚠 collection ✈ of ML 🚁 algorithms 🛸 hands 🛬 on 🚢 implementations 🚞 real 🏰 world 🏘 projects 🕍 essential 🏨 notebooks 🏤 that 🏪 help ⛸ learn 🎳 build ⚽ master ⚾ intelligent 🥎 systems 🏀 researchers 🏐 developers 🏉 want 🧸 a practical 🎓 structured 👔 intuitive 🎧 path 👒 into... Read more

A collection of sophisticated computer vision and machine learning problems for graduate-level researchers and practitioners

Asada, M.; Hosoda, K.; Kuniyoshi, Y.; Ishiguro, H.; Inui, T.; Yoshikawa, Y.; Ogino, M.; Yoshida, C. (2009). "Cognitive developmental robotics: a survey". IEEE Transactions on Autonomous Mental Development. 1 (1): 12–34. doi:10.1109/tamd.2009.2021702. S2CID 10168773. "ACM Computing Classification ... Read more

A collection of Machine Learning Google_Colab_Notebooks

A brief collections of (minimal) required knowledge for algorithm engineers. Including computer vision, deep learning, machine learning and other basic algorithms

Collection of tools and resources for managing the statistical disclosure control of trained machine learning models

A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)

An Item and Collection extension to describe machine learning (ML) models that operate on Earth observation data.