890 Open source projects that are alternatives of or similar to Text Summarizer

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

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

Python implementation of bag-of-concepts

Arabic Word Embeddings Word2vec

Exploring the simple sentence similarity measurements using word embeddings

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Implementation of linear CorEx and temporal CorEx.

Codenames AI using Word Vectors

📜 Self-Supervised Learning from Images: Up-to-date reading list.

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.

How to do Unsupervised Clustering with Keras

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

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

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

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

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

Find nodes in hierarchical clustering that are statistically significant

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

TCyb 2018: Graph learning for multiview clustering

Assessing Source Code Semantic Similarity with Unsupervised Learning

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

A curated list of pretrained sentence and word embedding models

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Benchmarks for intrinsic word embeddings evaluation.

[NeurIPS 2019] Spherical Text Embedding

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

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

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

DBSCAN Clustering Algorithm C# Implementation

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

Train Wikidata with word2vec for word embedding tasks

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

A curated list of community detection research papers with implementations.

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

Machine Learning Course @ Santa Clara University

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

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

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Machine Learning (EE 5184) in NTU

Learning to Cluster. A deep clustering strategy.

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Multiple implementations for abstractive text summurization , using google colab

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

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

A word2vec negative sampling implementation with correct CBOW update.

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

Word Embeddings (e.g. Word2Vec) in Go!

A word2vec port for Windows.

utils to use word embedding like word2vec vectors in a postgres database