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tree-learn

Scikit-learn compatible implementation of a huge range of differnet decision tree algorithms and tree-based methods

tree-prediction-tutorial

Tutorial on prediction with medical data using tree based models

tree_based_algorithms_in_r_and_python

Книга Артема Груздева и Андрея Огурцова "Древовидные алгоритмы в R и Python"

treeinterpreter

treeinterpreter-1

Python Tree Interpreter applied to public WI Breast Cancer Data

treeinterpreter-feedstock

A conda-smithy repository for treeinterpreter.

treeinterpreterdemo

Demo using treeinterpreter tool to check feature contributions for Random Forest Classifier

treemimic

Implementation by Henry Cagnini of the algorithm described in Baluja, Shumeet, and Scott Davies. Using Optimal Dependency-Trees for Combinatorial Optimization: Learning the Structure of the Search Space. No. CMU-CS-97-107. CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE, 1997.

trees-to-networks

Bridging random forests and deep neural networks. Partial implementation of "Neural Random Forests" https://arxiv.org/abs/1604.07143

trial-1-twitter-sentiment-analysis-basics-the-rudimentary-repo

This repo contains the priliminary steps to build a tweet sentiment analyzer using python.

trie_for_sequential_rules

build a trie for some sequences and try to find important rules

triplet_recommendations_keras

An example of doing MovieLens recommendations using triplet loss in Keras

trot

A python implementation of discrete optimal transport with a Tsallis entropy regularization.

trump-lies

Tutorial: Web scraping in Python with Beautiful Soup

trustbasedrecommendersystem

Data Mining Course Project

trusty_scribe_viewer

Website for viewing a git repo as a lab notebook. Figures and text files can be included with markdown-like syntax.

try_sentiment

This is an attempt to implement NRC-Canada's sentiment module for SemEval'14

tryingscala

Some learning topics on SCALA

ts-charting

Time Series Charting

ts-dist

Time series distance measures

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

tsai_test

tsai nbdev test

tsboost

Time Series Forecasting Framework

tscompdata

Time series competition data

tsdl

The Time Series Data Library (TSDL) was created by Rob Hyndman, Professor of Statistics at Monash University, Australia.

tse-2019

From Gender Biases to Gender-Inclusive Design: An Empirical Investigation

tsf_var

Vector Autoregression Model for Time Series Analysis using high performance linear algebra libraries

tsfresh

Automatic extraction of relevant features from time series:

tsibbledata

Example datasets for tsibble

tslearn

A machine learning toolkit dedicated to time-series data