SR's repositories
streamlit-cheat-sheet
A cheat sheet for streamlit
AbaloneProjGB
From Atul
what_are_embeddings
A deep dive into embeddings starting from fundamentals
bias-detection-tools-challenge
From NIH/NCATS bias detection challenges
CancerRiskNet
From nature.com paper on pancreatic cancer risk prediction
Getting-Started-with-NLP
This repository accompanies the book "Getting Started with Natural Language Processing"
covid19kg
The knowledge graph analysis for Covid-19 related data
Mastering-Machine-Learning-Algorithms-Second-Edition
Mastering Machine Learning Algorithms Second Edition, published by Packt
CliNER
Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.
philter-ucsf
Open source clinical text de-identification
dlaicourse
Notebooks for learning deep learning
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
course-nlp
A Code-First Introduction to NLP course
IdenProf
IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.
atap
Code for Applied Text Analysis with Python
wikipedia-data-science
Working with and analyzing Wikipedia Data
mimic_bow
Predict hospital readmission with discharge summaries
PracticalPythonAndOpenCV_CaseStudies
Edited code examples from the book 'Practical Python and OpenCV - Case Studies (3rd Edition)' by Adrian Rosebrock
TensorFlow-LiveLessons
"Deep Learning with TensorFlow" LiveLessons in Safari Books
d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
LittleInferenceBook
A book for the coursera statistical inference class
GCD
Getting and Cleaning DAta
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera