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tpot

A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.

tqdm

A fast, extensible progress bar for Python and CLI

tracking-data

trelliscope

Detailed Visualization of Large Complex Data in R

trext

TRExt - Tableau Refresh Extract (Externally)

tricolore

A balanced color scale for ternary compositions

tsmedianbasedensemblelearning

Incremental median-based ensemble learning method for seasonal time series

tsrepr

TSrepr: R package for time series representations

turbodbc

Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

tutorial

R Package to convert R Markdown files to DataCamp Light HTML files

tutorial-1

tutorial-sphinx-markdown

tutorials

Learn how to use OpenMined by Example

tutorials-1

A place for tutorials relevant to D4D projects.

tutorials-2

A repository for tutorials I have linked to my website

tutorials-3

tutorials-and-resources

Jupyter notebooks and markdownfiles that serve as tutorials for the packages of JuliaDynamics

tutorialsocialmediacrisis

Jupyter notebooks for pulling and analyzing data from social media during crises

tweenr

Interpolate your data

tweepy

Twitter for Python!

twint

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

twitter-sentiment-analysis

tutorial for sentiment analysis on Twitter data using Python

uber-juno

Installer package for the Juno IDE

ultimate-tensorflow2.0

Contains code that accompanies article - https://rubikscode.net/2019/04/21/ultimate-guide-to-tensorflow-2-0-in-python/(opens in a new tab)

umap

Uniform Manifold Approximation and Projection

un-data-viz

Visualization of UN Human Development Index Data

unsupervisedensembles

Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.

uq360

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

urban-data-science

Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-based urban data science course.

usa-dashboard

A dashboard of key metrics for the USA