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100-days-of-ml-code

100-Days-Of-ML-Code中文版

100-days-of-ml-code-1

100 Days of ML Coding

100daysofcode-with-python-course

Course materials and handouts for #100DaysOfCode in Python course

12--the-github-history-of-the-scala-language

2019_mlhc_workshop

Resources for our Workshop at the 2019 Machine Learning in Healthcare Conference

2020-ngsinfectedbodyfluids

scripts and data for Gu et al Nature Medicine 2020 manuscript

30-days-of-python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

365-days-computer-vision-learning-linkedin-post

365 Days Computer Vision Learning Linkedin Post

3d-mri-domain-adaptation

Unsupervised Domain Adaptation (AX2SAX) for CMR images

4-heartbeat-categorization-from-ecg-signal

The dataset is composed of heartbeat signals derived from the MIT-BIH Arrhythmia Dataset (Kaggle dataset: https://www.kaggle.com/shayanfazeli/heartbeat)

4dsegment

Deep learning cardiac segmentation and motion tracking

4dsurvival

Deep learning cardiac motion analysis for survival prediction

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

8dm50-machine-learning

TU/e 8DM50 Machine Learning in Medical Imaging and Biology course materials.

a-visual-history-of-nobel-prize-winners

A Visual History of Nobel Prize Winners

a-visual-history-of-nobel-prize-winners-1

The first Nobel Prize was handed out in 1901, and at that time the prize was Eurocentric and male-focused, but nowadays it's not biased in any way. Surely, right?

a-visual-history-of-nobel-prize-winners-2

a-visual-history-of-nobel-prize-winners-3

Project A Visual History of Nobel Prize Winners

aac

Otsimo AAC is an application that ables kids with autism who can not speak to compose phrases by tapping on the words via using picture exchange communication system.

abide-fmri

Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.

abigsurvey

A collection of 700+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

acdc_segmenter

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

adam

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

adaptor_docker_example

A docker example repository to support participants in creating submissions for the AdaptOR2021 MICCAI Challenge https://www.synapse.org/AdaptOR_Challenge_2021_MICCAI

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

advanced-computer-vision-with-tensorflow

Advanced Computer Vision with TensorFlow [Video], by Packt Publishing

advanced-deep-learning

Files for the Advanced Machine Learning Coursera course

advanced-deep-learning-and-computer-vision

This repository includes advanced deep learning techniques in addition with computer vision application using Tensorflow/Keras via Jupyter notebook and AWS Sagemaker

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

advanced-machine-learning-specialization

Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics