#
word-embeddings
Here are 573 public repositories matching this topic...
polm
commented
Sep 8, 2020
Read more
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
-
Updated
Sep 7, 2020 - Python
100+ Chinese Word Vectors 上百种预训练中文词向量
-
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
-
Updated
Sep 8, 2020 - Jupyter Notebook
Open
Add Lemmatization
9
henrifroese
commented
Sep 3, 2020
Lemmatization can be thought of as a more advanced stemming that we already have in the preprocessing module. You can read about it e.g. here. Implementation should be done with spaCy.
ToDo
Implement a function hero.lemmatize(s: TokenSeries) (or mayber rather TextSeries?). Using spaCy this should be fairly straightforward. It should go
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
-
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
-
Updated
Jul 19, 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
-
Updated
Jul 17, 2020 - Python
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
-
Updated
Mar 25, 2020 - CSS
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
-
Updated
Apr 18, 2020 - R
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
nlp
deep-learning
word-embeddings
pytorch
data-augmentation
indic-languages
sentence-similarity
sentence-encoding
-
Updated
Aug 23, 2020 - Python
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
-
Updated
Mar 9, 2020 - C++
Top2Vec learns jointly embedded topic, document and word vectors.
word-embeddings
topic-modeling
semantic-search
text-search
topic-search
document-embedding
topic-modelling
text-semantic-similarity
topic-vector
-
Updated
Sep 7, 2020 - Python
A collection of notebooks for Natural Language Processing from NLP Town
-
Updated
Nov 1, 2019 - Jupyter Notebook
-
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
-
Updated
Mar 11, 2020 - Jupyter Notebook
Word Embeddings (e.g. Word2Vec) in Go!
-
Updated
Jun 6, 2020 - Go
Simple downloader for pre-trained word vectors
-
Updated
Mar 27, 2019 - Python
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
tensorflow
word-embeddings
keras
cnn
named-entity-recognition
python36
character-embeddings
glove-embeddings
conll-2003
bilstm
-
Updated
Apr 21, 2020 - 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
-
Updated
Feb 26, 2020 - Jupyter Notebook
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
-
Updated
Apr 17, 2020 - Jupyter Notebook
Spanish word embeddings computed with different methods and from different corpora
-
Updated
Oct 9, 2019
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
-
Updated
Aug 8, 2017 - Python
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
-
Updated
Jun 16, 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
-
Updated
Jan 29, 2020 - Jupyter Notebook
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
-
Updated
Jun 8, 2018 - Python
Java interface for fastText
-
Updated
Feb 24, 2020 - Java
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
-
Updated
Jul 6, 2020 - Python
Word Embeddings for Information Retrieval
nlp
data-science
natural-language-processing
information-retrieval
word-embeddings
evaluation
embeddings
embedding-models
retrieval-model
similarity-scoring
-
Updated
May 9, 2020 - Python
Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
-
Updated
May 8, 2017 - Java
Improve this page
Add a description, image, and links to the word-embeddings topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the word-embeddings topic, visit your repo's landing page and select "manage topics."

