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classroom-attendance-system

cognitive-services-python-sdk-samples

Learn how to use the Cognitive Services Python SDK with these samples

cognitive-services-quickstart-code

Code Examples used by the Quickstarts in the Cognitive Services Documentation

colab_notebooks

colabs

This repository holds the Google Colabs for the EdX TinyML Specialization

container_demos

Demos for AKS, Azure, ACR, ACI, VirtualNodes, DevOps, ApplicationInsights

covidnet-ct

COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT

create-react-app

Set up a modern web app by running one command.

custom-deeplearning-model-deployment-using-flask-and-heroku

Basic Guide To Deploy Machine Learning or Deep Learning Model in Heroku using flask Web service frame work.

d2l-pytorch-sagemaker-studio-lab

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasciencevm

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

deep-learning-with-tensorflow-and-keras-3rd-edition

Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt

deeplearning-pytorch

deploy-application-using-ingress

deploy-image-classification-app-using-cloud-tech

dl-4-tsc

Deep Learning for Time Series Classification

ecg

Perform image and time series classification of various cardiovascular conditions as well as COVID-19 using Electrocardiogram data.

ecg-acquisition-classification

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

ecg-atrial-fibrillation-classification-using-cnn

This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.

ecg-classification

ECG Arrhythmia classification using CNN

ecg-classification-1

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

ecg-heartbeat-classification

Human heart arrhythmia classification based on the MIT-BIH ECG data set with random Fourier feature GLM and kernel parameter estimation.

ecg_classification_pytorch

Application of deep learning and convolutional networks for ECG classification

ecgclassifier

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

elmo-keras

Re-implementation of ELMo on Keras

esc-50

ESC-50: Dataset for Environmental Sound Classification

fastapi-docker-kubernetes-streamlit

fastapi-tutorials

fitnessbot

✨ Textbase is a simple framework for building AI chatbots. ✨