#Word-embeddings
Showing 33 of 33 repositories tagged #word-embeddings, ranked by stars
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
Topic Modelling for Humans
A very simple framework for state-of-the-art Natural Language Processing (NLP)
100+ Chinese Word Vectors 上百种预训练中文词向量
Text preprocessing, representation and visualization from zero to hero.
Beautiful visualizations of how language differs among document types.
Fast State-of-the-Art Static Embeddings
A fast, efficient universal vector embedding utility package.
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
A collection of notebooks for Natural Language Processing from NLP Town
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
Word Embeddings in Go!
Generating multiple choice questions from text using Machine Learning.
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
Word Embeddings for Information Retrieval
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
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.
dna2vec: Consistent vector representations of variable-length k-mers
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
R wrapper for fastText
Exploring the simple sentence similarity measurements using word embeddings
Dead simple games made with word vectors.
Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
Arabic support for textblob
Fast Word Clustering Software
Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
Sentiment Analysis: Deep Bi-LSTM+attention model
ELMo: Embeddings from Language Models. Using, visualizing and understanding EMLo by examples!
Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding