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LSTM for time series forecasting

Build, Train and Deploy a ML model on AWS SageMaker

Distributed Asynchronous Hyperparameter Optimization in Python

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Colab/Jupyter tutorials about training TensorFlow models for Edge TPU, and other tutorials

Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

A hardware application that continuously logs mains water usage to a database using a micro-controller and a flow sensor that sends out alerts when the water usage is too high.

Some example machine learning algorithm implementations from Berkeley's CS 281A during Fall 2012.

Free MLOps course from DataTalks.Club

Turn (almost) any Python command line program into a full GUI application with one line

🎨 Diagram as Code for prototyping cloud system architectures

Implementation of a Black-box Solar Performance Model

HotSpot self-migrating resource container for EC2's spot market

Solar-TK Modeling and Forecasting Toolkit

Lightning ⚡️ fast forecasting with statistical and econometric models.

A curated list of awesome energy forecasting resources such as, code libraries, datasets, courses, tutorials, research papers, competitions and communities.

Data and Code for the Paper "Using Google Trends to Predict Building Energy"

A framework for a multi-source, data-driven building energy management toolkit as a synthesis of established data analysis approaches in the literature.

This repository is the official implementation of ALDI++: Automatic and parameter-less discorddetection for daily load energy profiles

Raspberry Pi Based Energy Monitor. Hardware, Firmware & related software for the PI.

Novelty Detection with Autoencoders for System Health Monitoring in Industrial Environments

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy