387 Open source projects that are alternatives of or similar to Musae

🦆 Contextually-keyed word vectors

A fast, efficient universal vector embedding utility package.

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

Log Anomaly Detection - Machine learning to detect abnormal events logs

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

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

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.

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.

訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.

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.

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

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

Using pre trained word embeddings (Fasttext, Word2Vec)

document embedding and machine learning script for beginners

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

Pre-trained Word2Vec Model for Turkish

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.

Implementação e modelo gerado com o treinamento (trigram) da wikipedia em pt-br

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

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Topic Modelling for Humans

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

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

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

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

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

Fast word vectors with little memory usage in Python

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

extract relationships from standardized terms from corpus of interest with deep learning 🐟

中文詞向量訓練教學

Network Analysis for Financial Markets

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Implementing Skip-gram Negative Sampling with pytorch

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Japanese word embedding with Sudachi and NWJC 🌿

Automated Penetration Testing Framework

SST Architectural Simulation Components and Libraries

A practical guide to topic mining and interactive visualizations

finalfusion embeddings in Rust

Public materials for Statnet Workshops

Potiron - Normalize, Index and Visualize Network Capture

netdiffuseR: Analysis of Diffusion and Contagion Processes on Networks

All about Neural Networks!

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

AppSpector is a debugging service for mobile apps

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

Python implementation of Newman's spectral methods to maximize modularity.

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

USC urban data science course series with Python and Jupyter

Service Classification based on Service Description

Association Rule Mining from Spatial Data for Crime Analysis

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Python client for p0f3 API

Usage examples, demos, and tutorials for OSMnx.

Machine learning plugins for network traffic

A framework for systemic risk valuation and analysis.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

A short tutorial on network analysis using Game of Thrones, US Airports and Python!

A cross platform http sniffer with a web UI