#
word-embeddings
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A very simple framework for state-of-the-art Natural Language Processing (NLP)
nlp
machine-learning
natural-language-processing
word-embeddings
pytorch
named-entity-recognition
sequence-labeling
semantic-role-labeling
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Updated
Nov 25, 2020 - Python
100+ Chinese Word Vectors 上百种预训练中文词向量
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Updated
Aug 24, 2020 - Python
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
nlp
natural-language-processing
tutorial
sentiment-analysis
word-embeddings
transformers
cnn
pytorch
recurrent-neural-networks
lstm
rnn
fasttext
bert
sentiment-classification
pytorch-tutorial
pytorch-tutorials
cnn-text-classification
lstm-sentiment-analysis
pytorch-nlp
torchtext
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Updated
Nov 16, 2020 - Jupyter Notebook
henrifroese
commented
Sep 23, 2020
It would be great to have more friendly and funny doctest text content (instead of "Aha", "Text", ...). It's also nicer for users if the docstring examples are all similar.
One idea, for instance, is to use famous sentences said by movie Superheroes. Here are a few examples:
- I have the power!
- Flame on!
- HULK SMASH!
- Holy ____ Batman!
- I am the vengeance, I am the night, I am BATMAN!
A curated list of pretrained sentence and word embedding models
nlp
awesome
encoder
paper
natural-language
word-embeddings
evaluation
awesome-list
pretrained-models
unsupervised-learning
embedding-models
language-model
bert
embedded-models
cross-lingual
wordembedding
encoders
sentence-embeddings
pretrained-embedding
sentence-representations
contextualized-representation
vector-map
pooling-methods
pretrained-language-model
subword-models
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Updated
Aug 4, 2020 - Python
Beautiful visualizations of how language differs among document types.
visualization
d3
nlp
machine-learning
natural-language-processing
text-mining
word2vec
exploratory-data-analysis
word-embeddings
sentiment
eda
topic-modeling
scatter-plot
japanese-language
stylometry
computational-social-science
text-visualization
text-as-data
stylometric
semiotic-squares
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Updated
Nov 9, 2020 - Python
A fast, efficient universal vector embedding utility package.
python
nlp
fast
machine-learning
natural-language-processing
word2vec
word-embeddings
embeddings
gensim
machine-learning-library
glove
vectors
fasttext
memory-efficient
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Updated
Jul 17, 2020 - Python
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
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Updated
Mar 25, 2020 - CSS
Top2Vec learns jointly embedded topic, document and word vectors.
word-embeddings
topic-modeling
semantic-search
bert
text-search
topic-search
document-embedding
topic-modelling
text-semantic-similarity
sentence-encoder
pre-trained-language-models
topic-vector
sentence-transformers
top2vec
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Updated
Nov 10, 2020 - Python
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
natural-language-processing
text-mining
word2vec
word-embeddings
efficiency
topic-modeling
vignette
glove
vectorization
latent-dirichlet-allocation
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Updated
Sep 19, 2020 - R
goru001
commented
Jul 16, 2019
A Modern C++ Data Sciences Toolkit
nlp
search-engine
c-plus-plus
graph-algorithms
text-classification
word-embeddings
text-analysis
language-modeling
inverted-index
text-analytics
pos-tag
nlp-parsing
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Updated
Mar 9, 2020 - C++
A collection of notebooks for Natural Language Processing from NLP Town
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Updated
Nov 1, 2019 - Jupyter Notebook
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Updated
Nov 13, 2019 - Python
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
nlp
deep-learning
numpy
word2vec
word-embeddings
keras
python3
pytorch
recurrent-neural-networks
attention
nmt
skipgram
doc2vec
cnn-keras
saliency-map
seq2seq-pytorch
self-attention
document-embeddings
hierarchical-attention-network
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Updated
Mar 11, 2020 - Jupyter Notebook
Word Embeddings (e.g. Word2Vec) in Go!
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Updated
Nov 25, 2020 - Go
Simple downloader for pre-trained word vectors
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Updated
Mar 27, 2019 - Python
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
natural-language-processing
word-embeddings
pubmed
fasttext
mimic-iii
bionlp
sentence-similarity
sentence-embeddings
sent2vec
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Updated
Feb 26, 2020 - Jupyter Notebook
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
tensorflow
word-embeddings
keras
cnn
named-entity-recognition
python36
character-embeddings
glove-embeddings
conll-2003
bilstm
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Updated
Apr 21, 2020 - Python
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
tensorflow
word-embeddings
gru
autoencoder
gans
doc2vec
skip-thoughts
adagrad
cyclegan
deep-learning-mathematics
capsule-network
few-shot-learning
quick-thought
deep-learning-scratch
nadam
deep-learning-math
lstm-math
cnn-math
rnn-derivation
contractive-autonencoders
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Updated
Oct 2, 2020 - Jupyter Notebook
Spanish word embeddings computed with different methods and from different corpora
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Updated
Oct 9, 2019
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
natural-language-processing
tensorflow
word-embeddings
deep-learning-tutorial
graph-convolutional-networks
gcn
acl2019
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Updated
Nov 13, 2020 - Python
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
machine-learning
text-mining
neural-network
text-classification
word2vec
scikit-learn
word-embeddings
supervised-learning
gensim
fasttext
online-learning
shallow-learning
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Updated
Aug 8, 2017 - Python
Generating multiple choice questions from text using Machine Learning.
nlp
machine-learning
ai
naive-bayes
word-embeddings
spacy
quiz
cosine-similarity
questions-and-answers
question-generator
spacy-nlp
question-generation
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Updated
Dec 29, 2019 - Jupyter Notebook
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
deep-neural-networks
deep-learning
tensorflow
word2vec
word-embeddings
lstm
rnn
recommendation-system
recommendation-engine
recommender-system
recommendation-algorithms
rnn-tensorflow
lstm-neural-networks
lstm-neural-network
news-recommendation
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Updated
Nov 13, 2020 - Python
Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
nlp
training
natural-language-processing
deep-neural-networks
deep-learning
neural-network
model
word2vec
word-embeddings
evaluation
gensim
german-language
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Updated
Nov 18, 2020 - Jupyter Notebook
Java interface for fastText
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Updated
Nov 22, 2020 - Java
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
nlp
twitter
deep-learning
sentiment-analysis
neural-network
word-embeddings
keras
embeddings
lstm
attention
deeplearning
glove
computational-linguistics
semeval
attention-mechanism
keras-models
nlp-machine-learning
twitter-messages
semeval-sentiment
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Updated
Jun 8, 2018 - Python
Word Embeddings for Information Retrieval
nlp
data-science
natural-language-processing
information-retrieval
word-embeddings
evaluation
embeddings
embedding-models
retrieval-model
similarity-scoring
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Updated
Nov 12, 2020 - Python
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Not a high-priority at all, but it'd be more sensible for such a tutorial/testing utility corpus to be implemented elsewhere - maybe under
/test/or some other data- or doc- related module – rather than ingensim.models.word2vec.Originally posted by @gojomo in RaRe-Technologies/gensim#2939 (comment)