336 Open source projects that are alternatives of or similar to cade

Data Sets and Models for Evaluation of Lexical Semantic Change Detection

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.

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

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

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

(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

Read and use word2vec vectors in Go

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

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

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

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

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

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

finalfusion embeddings in Rust

Load embeddings and featurize your sentences.

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

entity2rec generates item recommendation using property-specific knowledge graph embeddings

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

A fast, efficient universal vector embedding utility package.

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)

Fast word vectors with little memory usage in Python

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

Compact high quality word embeddings for Russian language

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

📐Julia's implementation of word2vec in R

Text Classification in Turkish Texts with Bert

Visualization of semantic similarities in word embeddings.

Sentiment Analysis: Deep Bi-LSTM+attention model

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

基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析

A parallel implementation of word2vec based on Spark

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

利用wikipedia中英文的語料訓練Word2vec模型

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

Assessing Source Code Semantic Similarity with Unsupervised Learning

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.

Text Mining for Indonesian Online News Articles About Corona

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

Collection of cyber security and "AI" relevant topics

Toolkit to help understand "what lies" in word embeddings. Also benchmarking!

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.

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

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

Train Wikidata with word2vec for word embedding tasks

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

a contextual search engine for software packages built on import2vec embeddings (https://www.code-compass.com)

a Graph-based instance of DBLP

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

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

R package to Embed All the Things! using StarSpace

Implementation of IR2Vec, published in ACM TACO

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Knowledge Graph Embedding LDA. AAAI 2017

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

Network Embedding Survey and Resources

Text2Text: Cross-lingual natural language processing and generation toolkit

This is a collection of papers and other resources related to fairness.

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).