ml-ai-nlp-ir Goto Github PK

transorthogonal-linguistics

Uses an orthogonal vector space to finds words close to the hyperchord of two input words.

treelstm.pytorch

Tree LSTM implementation in PyTorch

tsfresh

Automatic extraction of relevant features from time series:

tslearn

A machine learning toolkit dedicated to time-series data

tutorials

tweet-classify

Tweet Classification using RNN and CNN

twitter-nlpmaps

Tokenize tweets to determine net sentiments and locations, generate Viz for states mean sentiment

twitter-scraper

Scrape the Twitter Frontend API without authentication.

twitter-sentiment-analyzer

Twitter Sentiment Analyzer

twitter_nlp

Twitter NLP Tools

twitterclassifier

Classifier for predicting user interests based on Twitter profile and using Python library scikit-learn.

ucr_time_series_classification_deep_learning_baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

uroman

Universal Romanizer that can convert any unicode script to roman (latin) script

utter-more

Adding verbosity to Amazon Alexa's utterances can be tedious. This creates them automatically from a given template.

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

vampire

Variational Methods for Pretraining in Resource-limited Environments

variational-autoencoder

Implementation of a variational Auto-encoder

variational-text-tensorflow

TensorFlow implementation of Neural Variational Inference for Text Processing

variationalrecurrentneuralnetwork

Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

vgg-19-feature-extractor

Multi-threaded VGG 19 feature extractor in Torch

videopredictioniclr2016

vocabulary

Python Module to get Meanings, Synonyms and what not for a given word

warp-ctc

Fast parallel CTC.

wavenet

Keras WaveNet implementation

wcep-mds-dataset

webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

welcome_tutorials

Various tutorials given for welcoming new students at MILA.

wer_are_we

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

whatlies

toolkit to help visualise - what lies in word embeddings

wheels

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)