A curated list of Best Artificial Intelligence Resources

Quality Assessment module

Publication-ready NN-architecture schematics.

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

Sample data associated with the Aurora-BP study

Multivariate Time Series Transformer, public version

NMA Computational Neuroscience course

Free MLOps course from DataTalks.Club

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

A Python package for time series classification

Automatic extraction of relevant features from time series:

A curated list for awesome GitOps resources

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

Native Kubernetes integration for Dask

Dask tutorial

Comparative analysis of pairwise interactions in multivariate time series.

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

STUMPY is a powerful and scalable Python library for modern time series analysis

Fully Convlutional Neural Networks for state-of-the-art time series classification

U-Time: A Fully Convolutional Network for Time Series Segmentation

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

A unified framework for machine learning with time series

Resources for video demonstrations and blog posts related to DataOps on AWS

Latex code for making neural networks diagrams

🏅 Collection of Kaggle Solutions and Ideas 🏅

Monitor the stability of a Pandas or Spark dataframe ⚙︎

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…