Learn how to design, develop, deploy and iterate on production-grade ML applications.

Free MLOps course from DataTalks.Club

An open-source, low-code machine learning library in Python

Automatic extraction of relevant features from time series:

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

NMA Computational Neuroscience course

Dask tutorial

A curated list of Best Artificial Intelligence Resources

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise a…

An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'

Multimodal human activity recognition using wrist-worn wearable sensors.

Sample data associated with the Aurora-BP study

Quality Assessment module