2169 Open source projects that are alternatives of or similar to Gensim

A fast, efficient universal vector embedding utility package.

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

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.

Beautiful visualizations of how language differs among document types.

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

Word Embeddings for Information Retrieval

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

A PureScript, browser-based implementation of LDA topic modeling.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

FastText for Node.js

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

Code for the paper "BIOLITMAP: a web-based geolocated and temporal visualization of the evolution of bioinformatics publications" in Oxford Bioinformatics.

Fast word vectors with little memory usage in Python

Collection of stats, modeling, and data science tools in Python and R.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

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

机器学习、深度学习、自然语言处理

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.

Using pre trained word embeddings (Fasttext, Word2Vec)

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

Resources for learning about Text Mining and Natural Language Processing

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

Exploring the simple sentence similarity measurements using word embeddings

Companion code for the book "Mastering Social Media Mining with Python"

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

A practical guide to topic mining and interactive visualizations

🦆 Contextually-keyed word vectors

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

Japanese text8 corpus for word embedding.

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.

A high-level machine learning and deep learning library for the PHP language.

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

A point-and-click tool for creating and analyzing topic models produced by MALLET.

📝 Подборка ресурсов по машинному обучению

Forte is a flexible and powerful NLP builder FOR TExt. This is part of the CASL project: http://casl-project.ai/

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

TSrepr: R package for time series representations

🏖TagEditor - Annotation tool for spaCy

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

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

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Explore high-dimensional datasets and how your algo handles specific regions.

R wrapper for fastText

🧬 A JupyterLab extension for annotating data with Prodigy

Datasets, tools, and benchmarks for representation learning of code.

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Machine learning, in numpy

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

Web-ify your word2vec: framework to serve distributional semantic models online

The reference implementation of "Multi-scale Attributed Node Embedding".

Python Framework for Extractive Text Summarization

Kadot, the unsupervised natural language processing library.

An open-source NLP research library, built on PyTorch.

A curated list of awesome embedding models tutorials, projects and communities.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

General Assembly's 2015 Data Science course in Washington, DC

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

CogComp's light-weight Python NLP annotators

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques