814 Open source projects that are alternatives of or similar to Role2vec

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

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

A word2vec port for Windows.

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

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

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

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

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

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).

中文詞向量訓練教學

Python implementation of bag-of-concepts

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

Profiling and Deanonymizing Ethereum Users

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

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Log Anomaly Detection - Machine learning to detect abnormal events logs

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.

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

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

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

Fast word vectors with little memory usage in Python

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

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

A practical guide to topic mining and interactive visualizations

🦆 Contextually-keyed word vectors

A fast, efficient universal vector embedding utility package.

Pre-trained Word2Vec Model for Turkish

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

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.

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

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.

Topic Modelling for Humans

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

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

Using pre trained word embeddings (Fasttext, Word2Vec)

document embedding and machine learning script for beginners

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

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

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.

兜哥出品 <一本开源的NLP入门书籍>

Machine Learning University: Accelerated Natural Language Processing Class

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

Empirical standards for conducting and evaluating research in software engineering

Virtual Reality Software Library

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

A curated list of research papers and resources on code-switching

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

FastText for Node.js

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

Python implementation of the multistate Bennett acceptance ratio (MBAR)

A workspace for research teams

A list of computer-science readings I recommend

machine learning web app game where the user competes against the AI in picking stocks