264 Open source projects that are alternatives of or similar to contextualLSTM

Top2Vec learns jointly embedded topic, document and word vectors.

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

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)

Topic Modelling for Humans

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

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

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

Beautiful visualizations of how language differs among document types.

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Paratope Prediction using Deep Learning

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Experiments with Hugging Face 🔬 🤗

The implementation of LSTM in TensorFlow used for the stock prediction.

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Exploring the simple sentence similarity measurements using word embeddings

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

A word2vec negative sampling implementation with correct CBOW update.

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A Framework for Textual Entailment based Zero Shot text classification

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

Generating multiple choice questions from text using Machine Learning.

A recurrent (LSTM) neural network in C

Named-Entity Recognition in Persian Language

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Code for Supervised Word Mover's Distance (SWMD)

Hybrid Time Series using LSTM and Kalman Filtering

Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.

NLP with NLTK for Sentiment analysis amazon Products Reviews

Translating English sentences to Marathi using Neural Machine Translation

Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

Topic modelling on financial news with Natural Language Processing

Automatic trading bot (WIP)

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Spanish word embeddings computed with different methods and from different corpora

A workshop on analyzing topic modeling (LDA, CTM, STM) using R

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

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

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.

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

🙋 A Selenium based automated program that scrapes profiles data,stores in CSV,follows them and saves their profile in PDF.

Java interface for fastText

STriP Net: Semantic Similarity of Scientific Papers (S3P) Network

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

Word Embeddings for Information Retrieval

Detect Sensitive REST API communication using Deep Neural Networks

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Text preprocessing, representation and visualization from zero to hero.

Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.

Bayesian nonparametric models for python

SImple SenTence EmbeddeR

Remove problematic gender bias from word embeddings.

A library for topic modeling and browsing

基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码）

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

This is the realization of core DeepLog