6195 Open source projects that are alternatives of or similar to Word2vec

Log Anomaly Detection - Machine learning to detect abnormal events logs

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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.

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

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

Fast word vectors with little memory usage in Python

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Pre-trained Word2Vec Model for Turkish

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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.

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A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

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

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

A fast, efficient universal vector embedding utility package.

🦆 Contextually-keyed word vectors

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.

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

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

Using pre trained word embeddings (Fasttext, Word2Vec)

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

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document embedding and machine learning script for beginners

Train Wikidata with word2vec for word embedding tasks

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

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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.

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

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

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

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A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

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

Some research experiments

Oxford Deep NLP 2017 course - Practical 1: word2vec

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

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

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

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Source code for my collection of articles on using pandas.

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

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Forecasting the future prices of BTC and More using Machine and Deep Learning Models

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