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coursera-machine-learning-stanford

Machine learning-Stanford University

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

data-analysis-with-python

用python玩转数据

data-viz-utils

Functions for easily making publication-quality figures with matplotlib.

databook_matlab

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

datacamp-light

Convert any blog or website to an interactive learning platform for data science

datasets

Datasets used in Plotly examples and documentation

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng on Coursera.

deep_arrhythmias

deep_learning_object_detection

A paper list of object detection using deep learning.

deepcell-tf

Deep Learning Library for Single Cell Analysis

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deeplearningforaudiowithpython

Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.

dl1

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

documentation

Documentation for Plotly's open-source graphing libraries

easylabs

Easy python labs for beginners

ecg-mit-bih

ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at

ecg_heartbeat_classification

CNN for heartbeat classification

ecg_ml

Machine Learning on ECG to predict heart-beat classification.

ecg_viewer

Matlab GUI for reviewing, processing, and annotating electrocardiogram (ECG) data files

ecgconverter

This is tool to convert ECG raw data and diagnostic from XML to CSV format

example-code

Example code for the book Fluent Python

example-code-2e

Example code for Fluent Python, 2nd edition

examples

Examples of exercises that accompany Effective Computation in Physics

examples-1

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

examples-2

Example deep learning projects that use wandb's features.

extract_xml_data