526 Open source projects that are alternatives of or similar to word-embeddings-from-scratch

Fast word vectors with little memory usage in Python

A fast, efficient universal vector embedding utility package.

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

(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

document embedding and machine learning script for beginners

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

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

Load embeddings and featurize your sentences.

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

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

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

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

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

Compact high quality word embeddings for Russian language

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

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

Topic Modelling for Humans

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

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.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

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

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

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.

Using pre trained word embeddings (Fasttext, Word2Vec)

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

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.

Compute Sentence Embeddings Fast!

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

Face Recognition using the FaceNet model and MLKit on Android.

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

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

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

Text Classification in Turkish Texts with Bert

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

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

Log Anomaly Detection - Machine learning to detect abnormal events logs

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

entity2rec generates item recommendation using property-specific knowledge graph embeddings

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.

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

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

中文詞向量訓練教學

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

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

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

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)

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

finalfusion embeddings in Rust

🦆 Contextually-keyed word vectors

Read and use word2vec vectors in Go

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

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

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.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

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

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

Pre-trained Word2Vec Model for Turkish