252 Open source projects that are alternatives of or similar to doc2vec-api

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

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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.

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

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

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Fast word vectors with little memory usage in Python

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

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

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

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

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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.

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

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

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

Pre-trained Word2Vec Model for Turkish

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

doc2vec , word2vec, implemented by golang. word embedding representation

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

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

Using pre trained word embeddings (Fasttext, Word2Vec)

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

A ROS wrapper for Google's NLP platform Dialogflow

Oxford Deep NLP 2017 course - Practical 1: word2vec

Hyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.

基于情感字典和机器学习的股市舆情情感分类可视化Web

🐺 Declarative development for state driven dynamic prompt flow

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An unofficial implementation of asm2vec as a standalone python package

Language Modeling and Text Classification in Malayalam Language using ULMFiT

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

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

skip-gram for Chinese word2vec base on tensorflow

Implementation of Grad-CAM for text.

对四种句子/文本相似度计算方法进行实验与比较

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텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Remove problematic gender bias from word embeddings.

Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.

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Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

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Pre-trained word vectors of 30+ languages