yx925 Goto Github PK

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

fastai-learner-on-mobile

serving a fast.ai learner via mobile web browser with voila and ngrok

fastai2020

Learning fastai2020

fastbook

The fastai book, published as Jupyter Notebooks

glypy

Glycan Analysis and Glycoinformatics Library for Python

google-research

Google Research

greykite

A flexible, intuitive and fast forecasting library

hub

A library for transfer learning by reusing parts of TensorFlow models.

learning-python

first learning python 2020--4-30

malaria-cell-detection-keras-and-tensorflow-

In this kaggle kernel I used a very interesting dataset of Malaria Cell images along with a CNN to classify malaraia cells at a 95% accuracy. With Keras and TensorFlow I was able to construct a model that was able to accuractly detect malaria within cell images.

malaria-detection

Malaria Detection using Deep Learning

materialsinformatics

MSE5050/7050 Materials Informatics course at the University of Utah

melanoma

melanoma1

melanoma1

melanoma_detection

Melanoma_detection

melanoma_fastai

Diagnose skin cancer with Fastai library and Google Colab

mobilenetv2-fastaiv1

MobileNetV2 for fastaiV1 (pretrained and with [optional] batchnorm fusion)

molecular-descriptors

molecular_design_with_beam_search

papers-for-molecular-design-using-dl

List of molecular design using Generative AI and Deep Learning

papers_for_protein_design_using_dl

List of papers about Proteins Design using Deep Learning

pneumonia-classification-model

pneumonia-x-rays-of-human-lungs-ai-project

This projects includes both back-end (Keras, Flask with dependencies) and front-end/deployement (HTML, CSS, JS) parts. The project perform X-rays of human lungs classifiaction using Convolutional Neural Networks with automated image pre-processing and internal procedures. Saved files of inspected models are saved on specific folders in project directory.

practical-deep-learning-applied-to-time-series

Practical Deep Learning resources for Time series analysis and forecasting

python

Python codes from tutorials on the Data Professor YouTube channel

python-small-examples

告别枯燥，60 秒学会一个 Python 小例子

sweettalk

Deep learning-based language model for glycan sequences

tensorflow-data

An small example how to use tensorflow data (tf.data)

timeseries

Time Series package for fastai v2

timeseriesai

Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch