MashenkaOkuneva

MashenkaOkuneva's Stars

• leifandersthorsrud/NCI

  Simulation code for "Words are the new numbers: A newsy coincident index of the business cycle"

  Language:Matlab86

• nlptown/nlp-notebooks

  A collection of notebooks for Natural Language Processing from NLP Town

  Language:Jupyter Notebook946372

• adsieg/text_similarity

  Text Similarity

  Language:Jupyter Notebook405147

• bentrevett/pytorch-sentiment-analysis

  Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

  Language:Jupyter Notebook4.3k1.2k

• Scavetta/deep-learning-with-r-companion

  Companion videos and exercises for Manning Publication's Deep Learning with R

  Language:HTML1514

• allr/benchR

  Set of benchmarks of R

  Language:R910

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python23.8k4.6k

• slds-lmu/surrogates

  Language:R2

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python37.9k9.6k

• JonathanRaiman/pytreebank

  :rage::innocent: Stanford Sentiment Treebank loader in Python

  Language:Python9923

• laugustyniak/awesome-sentiment-analysis

  Repository with all what is necessary for sentiment analysis and related areas

  530109

• dmnelson/sentiment-analysis-imdb

  Example project of sentiment analysis using LSTM NN on IMDB reviews database

  Language:Python216

• jerbarnes/sota_sentiment

  State-of-the-art model evaluation

  Language:Python3912

• llefebure/un-general-debates

  Analysis and experiments on the UN General Debate corpus

  Language:Jupyter Notebook377

• devmount/GermanWordEmbeddings

  Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.

  Language:Jupyter Notebook23450

• cran/sandwich

  :exclamation: This is a read-only mirror of the CRAN R package repository. sandwich — Robust Covariance Matrix Estimators. Homepage: https://sandwich.R-Forge.R-project.org/ Report bugs for this package: https://sandwich.R-Forge.R-project.org/contact.html

  Language:R103

• sfeuerriegel/SentimentAnalysis

  Dictionary-based sentiment analysis

  Language:R14943

• robjhyndman/forecast

  Forecasting Functions for Time Series and Linear Models

  Language:R1.1k342

• johntwk/Diebold-Mariano-Test

  This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).

  Language:Python10233

• hankcs/CS224n

  CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

  Language:Python673273

• DSKSD/DeepNLP-models-Pytorch

  Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

  Language:Jupyter Notebook3k660

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.3k6.3k

• theeluwin/pytorch-sgns

  Skipgram Negative Sampling implemented in PyTorch

  Language:Python30259

• Liebeck/spacy-sentiws

  German sentiment scores with SentiWS as extension for spaCy

  Language:Python366

• attardi/deepnl

  Deep Learning for Natural Language Processing

  Language:Python457116

• roskakori/shapiro

  lexicon based opinion mining and sentiment analysis

  Language:Python25

• pesoto/Text-Analysis

  Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

  Language:Jupyter Notebook5828

• cubeton/git101

  Tutorial on git and GitHub for beginners

  102115