#Word2vec
Showing 54 of 54 repositories tagged #word2vec, ranked by stars
Topic Modelling for Humans
Machine learning, in numpy
Extract Keywords from sentence or Replace keywords in sentences.
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
兜哥出品 <一本开源的NLP入门书籍>
Beautiful visualizations of how language differs among document types.
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
A curated list of awesome embedding models tutorials, projects and communities.
🦆 Contextually-keyed word vectors
A fast, efficient universal vector embedding utility package.
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
基于Pytorch和torchtext的自然语言处理深度学习框架。
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Deep neural network framework for multi-label text classification
基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容
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)
Multiple implementations for abstractive text summurization , using google colab
Word Embeddings in Go!
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
cntext is a Python library for social science text analysis, offering word frequency, sentiment, word embeddings, and semantic projection to measure constructs like attitudes and psychological states from Chinese text.
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Log Anomaly Detection - Machine learning to detect abnormal events logs
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
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.
dna2vec: Consistent vector representations of variable-length k-mers
👷♂️ A simple package for extracting useful features from character objects 👷♀️
Notebooks for the Seattle PyData 2017 talk on Scattertext
Visualization of semantic similarities in word embeddings.
A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python
Exploring the simple sentence similarity measurements using word embeddings
Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
Some research experiments
Russian mass media stemmed texts corpus / Корпус лемматизированных (морфологически нормализованных) текстов российских СМИ
document embedding and machine learning script for beginners
Pujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec
Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
pure rust implemention of word2vec
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Implementations of some Deep Learning models using tensorflow with scikit-learn like APIs
Text Summarization for Research Papers
Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.
A deep learning project to tell a story with an image or a video.
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
.Net Implementation for google word2vec tools.
Experimental Haskell machine learning library
Sentiment Analysis using Convolution Neural Networks(CNN) and Google News Word2Vec
Extract Keywords from sentence or Replace keywords in sentences. @ https://github.com/vi3k6i5/flashtext
Spark-Kafka Realtime recommender Engine.