KG's repositories
introtodeeplearning_labs
Lab Materials for MIT 6.S191: Introduction to Deep Learning
open-data-registry
A registry of publicly available datasets on AWS
100daysofcode-with-python-course
Course materials and handouts for #100DaysOfCode in Python course
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
awesome-dash
A curated list of awesome Dash (plotly) resources
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
dask-tutorial
Dask tutorial
dbt
dbt (data build tool) is a command line tool that enables data analysts and engineers to transform data in their warehouse more effectively.
eo-learn
Earth observation processing framework for machine learning in Python
ExploratoryDataAnalysis
Repository for an online class on Exploratory Data Analysis in Python
gmaps
Google maps for Jupyter notebooks
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
holoviews
With Holoviews, your data visualizes itself
ipysheet
Jupyter spreadsheet widget
ipywebrtc
WebRTC for Jupyter notebook/lab
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
notes
Notes on data science, machine learning, artificial intelligence, history, and social science.
Optimus
:truck: Agile Data Science Workflows made easy with Python and Spark.
python-documentcloud
A simple Python wrapper for the DocumentCloud API
regression-discontinuity-design
applying a quasi experimental methods to derive causal effects
schedule
Python job scheduling for humans.
shap
A unified approach to explain the output of any machine learning model.
solutions
Solutions for projects.
stanfordnlp
Official Stanford NLP Python Library for Many Human Languages
text_essentials-of-geographic-information-systems
Essentials of Geographic Information Systems
theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
visualize-food-insecurity
Use Watson Analytics and Pixie Dust to visualize US Food Insecurity
yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.