406 Open source projects that are alternatives of or similar to Word2vec Win32

Exploring the simple sentence similarity measurements using word embeddings

A fast, efficient universal vector embedding utility package.

utils to use word embedding like word2vec vectors in a postgres database

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.

Benchmarks for intrinsic word embeddings evaluation.

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.

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

A pipeline for training word embeddings using word2vec on wikipedia corpus.

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Codenames AI using Word Vectors

Word Embeddings (e.g. Word2Vec) in Go!

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

FastText for Node.js

Python implementation of bag-of-concepts

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

A word2vec negative sampling implementation with correct CBOW update.

Remove problematic gender bias from word embeddings.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Train Wikidata with word2vec for word embedding tasks

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Beautiful visualizations of how language differs among document types.

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Python Framework for Extractive Text Summarization

Topic Modelling for Humans

dna2vec: Consistent vector representations of variable-length k-mers

Arabic Word Embeddings Word2vec

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

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

A Modern C++ Data Sciences Toolkit

An algorithm to augment syntactic hierarchy into word embeddings

The implementation of DeBERTa

Unsupervised Feature Learning via Non-parametric Instance Discrimination

An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Extract Keywords from sentence or Replace keywords in sentences.

A collection of notebooks for Natural Language Processing from NLP Town

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Obtaining word embeddings from a WordNet ontology

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

中文詞向量訓練教學

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

Self-Supervised Speech Pre-training and Representation Learning Toolkit.

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Fast word vectors with little memory usage in Python

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Inspired by word2vec-pride-vis the replacement of words of Russian most valuable novels text with closest word2vec model words. By Boris Orekhov