mukami12 Goto Github PK

-bridging-the-gap-between-data-scientists-and-business-users-byom_tableau

-building-and-deploying-machine-learning-models-with-tensorflow-and-keras

AI+ [Data, I/O, and TensorFlow: Building A Reliable Machine Learning Data Pipeline]

18.337_2018

adversarial-robustness-how-to-make-artificial-intelligence-models-attack-proof--odsc-east-2022

Workshop for Open Data Science Conference East 2022

arff-datasets

The collection of ARFF datasets of the Connectionist Artificial Intelligence Laboratory (LIAC)

autokeras

Accessible AutoML for deep learning.

bayesian-decision-analysis

Repository for a workshop on Bayesian Decision Analysis

bci-challenge-ner-2015

Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

biological_learning

Example of "biological" learning for MNIST

biosigkit

BioSignal Analysis Kit

c-rnn-gan

Implementation of C-RNN-GAN.

cam

Class Activation Mapping

cinc-challenge2017

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

classification-using-ecg

Classification of cardiac arrhythmia using ECG data

cloud_datascience-public-talks

Slides, videos, and supporting files for my public talks

cnn-exposed

Interpreting Convolutional Neural Network (CNN) Results.

cnn-for-sentence-classification-in-keras

based on paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim

compare_gan

controlled-text-generation

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

convolutionalautoencoder

Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow

coursera-applied-machine-learning-with-python

This repository includes course assignments of applied machine learning with python on coursera by university of michigan.

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

curaeaidlhw-codelab1-skin-cancer-mnist

Materials for Curae.ai's Code Lab 1: Skin Cancer MNIST

deep-learning-based-ecg-annotator

Annotation of ECG signals using deep learning. Tutorial

deepecg

A library for classifying single-lead ECG waveforms as either Normal Sinus Rhythm, Atrial Fibrillation, or Other Rhythm.

deepecg-1

ECG classification programs based on ML/DL methods

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deepmat

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders