201 Open source projects that are alternatives of or similar to Movietaster Open

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

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.

Watchman: An open-source social-media event-detection system

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

Embedding模型代码和学习笔记总结

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NLP in python Vector Space Modelling and document classification NLP

对四种句子/文本相似度计算方法进行实验与比较

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

Russian mass media stemmed texts corpus / Корпус лемматизированных (морфологически нормализованных) текстов российских СМИ

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

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

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

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

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

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

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

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

a Graph-based instance of DBLP

Go library for performing computations in word2vec binary models

NLP pipeline using word2vec (preprocessing/embedding/prediction/clustering)

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.

(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

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

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

Japanese word embedding with Sudachi and NWJC 🌿

Tensorflow NCE loss in Keras

对 ansj 编写的 Word2VEC_java 的进一步包装，同时实现了常用的词语相似度和句子相似度计算。

Jupyter notebooks for Chainer hands-on

Pujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec

📉Deep learning from scratch using Go. Specializes in natural language processing

A word2vec negative sampling implementation with correct CBOW update.

doc2vec , word2vec, implemented by golang. word embedding representation

A word2vec port for Windows.

Word2Vec In Java (2013 google word2vec opensource)

Pre-trained Word2Vec Model for Turkish

NLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.

Implementing Skip-gram Negative Sampling with pytorch

Bu Uyghur yéziqini Pythonning gensim ambiridiki word2vec algorizimida sinap baqqan misal.

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

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

All about Neural Networks!

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.

Use pytorch to implement word2vec

Arabic Word Embeddings Word2vec

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Benchmarks for intrinsic word embeddings evaluation.

Python interface to Google word2vec

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

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

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FastText for Node.js

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.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

基于情感字典和机器学习的股市舆情情感分类可视化Web

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

Using word vectors to classify spam messages

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