**Seizure Detection** is a binary supervised classification problem with the aim of classifying between seizure and non-seizure states of a patient.


<span class="denoscription-source">Source: [ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification…

🔥 Python Certification Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/data-science-python-certification-course
This Edureka video on Tkinter tutorial covers all the basic aspects of creating and making use of your own simple Graphical User Interface…

🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai
This Edureka video on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed…

In this tutorial, you will learn how to compare two images for similarity (and whether or not they belong to the same or different classes) using siamese networks and the Keras/TensorFlow deep learning libraries.

In this tutorial, you will learn how to get started with your NVIDIA Jetson Nano, including installing Keras + TensorFlow, accessing the camera, and performing image classification and object detection.

A python code for acquisition of EMG signal and classification through an Artificial Neural Network - IgorMunizS/emg-control-prothesys

In this tutorial, you will learn how to perform anomaly/novelty detection in image datasets using OpenCV, Computer Vision, and the scikit-learn machine learning library.

In this tutorial you will learn the basics of augmented reality with OpenCV and Python.

ICA applied to EEG part 1: What is ICA? This video describes what Independent Component Analysis is and how it can be applied to EEG data.

🏆 SOTA for Image Generation on FFHQ 512 x 512 (FID metric)

Generating realistic looking faces with GANs network - PooyaAlamirpour/FaceGeneration

In this Jupyter Notebook it will be explained how some parameters can be extracted from EMG, both from time and frequency domain.

In this blog post, I will discuss the GANs and how it is used for restoring the images. I will use the fastai library for the practical…

Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition. - garethjns/Kaggle-EEG

In this video, we will create a face filter using OpenCV. We will first detect the face and then its landmarks which will allow us to extract individual features such as eyes nose lips and more. From there we will overlay our desired color to the lip feature.…