187 Open source projects that are alternatives of or similar to yelp_comments_classification_nlp

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

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

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

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

A little game powered by word vectors

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Sentiment Analysis: Deep Bi-LSTM+attention model

Classification of Urban Sound Audio Dataset using LSTM-based model.

A simple open domain generative based chatbot based on Recurrent Neural Networks

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

Vanilla LSTM with numpy

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

PyTorch implementation of context2vec from Melamud et al., CoNLL 2016

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

Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.

Tools for shrinking fastText models (in gensim format)

Public release of data and code for materials synthesis generation

雷达回波外推，ConvLSTM，训练模型并外推。

Text processing library for sentiment analysis and related tasks

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

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

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

Danish Semantic analysis

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

Translating English sentences to Marathi using Neural Machine Translation

Code for Supervised Word Mover's Distance (SWMD)

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we pres…

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Codenames AI using Word Vectors

An LSTM example using tensorflow to predict the next word in a text

Train Wikidata with word2vec for word embedding tasks

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

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

bitcoin prediction algorithms

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

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

Optical character recognition Using Deep Learning

All the code files related to the deep learning course from PadhAI

Working with the Yelp Dataset in Azure SQL and SQL Server

Arabic Word Embeddings Word2vec

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

Benchmarks for intrinsic word embeddings evaluation.

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Implementation of Siamese CBOW using keras whose backend is tensorflow.

Keras implementation of character-level sequence-to-sequence learning for spelling correction

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

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

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

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

Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)

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

Named-Entity Recognition in Persian Language

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

predicting yelp review rating using recurrent neural networks

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Context Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings

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