364 Open source projects that are alternatives of or similar to biovec

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.

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

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

Topic Modelling for Humans

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

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

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

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

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

中文詞向量訓練教學

Pre-trained Word2Vec Model for Turkish

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

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

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

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

(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

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.

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

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

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

A fast, efficient universal vector embedding utility package.

Using pre trained word embeddings (Fasttext, Word2Vec)

Log Anomaly Detection - Machine learning to detect abnormal events logs

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

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Fast word vectors with little memory usage in Python

🦆 Contextually-keyed word vectors

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.

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

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

document embedding and machine learning script for beginners

Sarcasm Detection for Sentiment Analysis

doc2vec , word2vec, implemented by golang. word embedding representation

A personal semantic search engine capable of surfacing relevant bookmarks, journal entries, notes, blogs, contacts, and more, built on an efficient document embedding algorithm and Monocle's personal search index.

Large Data Analysis Course Project

Chinese Word Segmention Base on the Deep Learning and LSTM Neural Network

基于新浪微博数据的情感极性分析

Aircraft engine failure prediction model

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

a frame of amd-v svm nest

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Arabic Word Embeddings Word2vec

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

Neural Networks for Protein Sequence Alignment

Use word2vec to improve search result

📚 🔬 PIA - Protein Inference Algorithms

nlp lecture-notes and source code

Word2Vec In Java (2013 google word2vec opensource)

Benchmarks for intrinsic word embeddings evaluation.

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

Interactive Visual Machine Learning Demos.

Tutorial: Support Vector Machine from scratch using Python3

TextAugment: Text Augmentation Library

A document covering machine learning basics. 🤖📊

Information Retrieval in High Dimensional Data (class deliverables)

A pipeline for training word embeddings using word2vec on wikipedia corpus.