750 Open source projects that are alternatives of or similar to Entity2rec

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Compact high quality word embeddings for Russian language

Read and use word2vec vectors in Go

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

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

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

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

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

Fast word vectors with little memory usage in Python

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

A fast, efficient universal vector embedding utility package.

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

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Paper list of NLP for recommender systems

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

EMNLP 2019: CaRe: Open Knowledge Graph Embeddings

Recommendation based on sequence

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

Load embeddings and featurize your sentences.

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

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

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

code for Gogleva et al manuscript

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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.

📖Notes and remarks on Machine Learning related papers

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Knowledge-aware recommendation papers.

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

Making sense embedding out of word embeddings using graph-based word sense induction

Reasoning Over Knowledge Graph Paths for Recommendation

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

CSKG: The CommonSense Knowledge Graph

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

finalfusion embeddings in Rust

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

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

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

A recommender system for discovering GitHub repos, built with Apache Spark

The Renku Project provides a platform and tools for reproducible and collaborative data analysis.

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

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

KBPedia Knowledge Graph & Knowledge Ontology (KKO)

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

Sequential deep matching model for recommender system at Alibaba

Using word vectors to classify spam messages

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

Basic Utilities for PyTorch Natural Language Processing (NLP)

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

对 ansj 编写的 Word2VEC_java 的进一步包装，同时实现了常用的词语相似度和句子相似度计算。

sourced.ml is a library and command line tools to build and apply machine learning models on top of Universal Abstract Syntax Trees

Resources for Tutorial on "Utilizing Knowledge Graphs in Text-centric Information Retrieval"