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text2emoji

Text2Emoji helps you add necessary emojis to your text by analysing the emotion behind the writing.

text_mining

Text mining tweets related to 'BJP', a political party in India.

text_mining_monetary_policy

Text mining, topic modeling, and sentiment analysis are applied to FOMC meeting minutes.

text_mining_resources

Resources for learning about Text Mining and Natural Language Processing

text_summurization_abstractive_methods

Multiple implementations for abstractive text summurization , using google colab

textaugmentation-gpt2

Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

textclustering

Using unsupervised learning to cluster text into groups.

textrank_text_summarization

A tutorial for Automatic Text Summarization using TextRank algorithm.

tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

tfg_uc3m

Implementation of the BSc Thesis - Traffic lights detection and classification

tfv2

TensorFlow 2.0 essentials: What's New (Live Online Training delivered for O'Reilly Media)

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

thealchemist

thehotcommodity

Exploration of Open Interest in Commodity Futures

thingscoop

Search and filter videos based on objects that appear in them using convolutional neural networks

thinkbayes

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

thompson

Thompson is Python package to evaluate the multi-armed bandit problem. In addition to thompson, Upper Confidence Bound (UCB) algorithm, and randomized results are also implemented.

thymus-timeseries

An intuitive library tracking dates and timeseries in common using numpy arrays. -- https://sidorof.github.io/Thymus-timeseries/

tick-data

Futures financial tick data

tiger-quant

time-series

timecop

TIMECOP is a RESTful webservice engine that evaluates univariate and multivariate timeseries. It considerates that the time series has 3 stages: the current state of the time series as the last five points, the past state as all the previous points before the current state and the future state as the forecast of the next steps(custom number).

timegan

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

timemachine

Simple, pure function representations of popular time series packages.

timemachines

Continuously evaluated, functional, incremental, time-series forecasting

timemachines-testing

Testing optimizers and time-series algorithms, and assigning them Elo ratings.

timeseries-data

static benchmarking timeseries data

timeseries-elo-ratings

Elo ratings for time-series forecasting packages

timeseries-notebooks

Hello world univariate examples for a variety of time series packages.

timeseries_cnn_classification_using_grid_representation

Grid representation and CNN classification for time-series