673 Open source projects that are alternatives of or similar to Absa_keras

Text processing library for sentiment analysis and related tasks

Visualizing RNNs using the attention mechanism

Implementation of A Structured Self-attentive Sentence Embedding

A pythonic wrapper for Stanford CoreNLP.

Keras implementation of hierarchical attention network for document classification with options to predict and present attention weights on both word and sentence level.

Implementation of papers for text classification task on DBpedia

Source code for ACL-IJCNLP 2021 paper "DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations"

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Punctuation restoration and spell correction experiments.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

🎬 Video Captioning: ICCV '15 paper implementation

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

attention mechanism in keras, like Dense and RNN...

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首等功能

Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

A stock portfolio manager that provides neural net based short-term predictions for stocks and natural language processing based analysis on community sentiments.

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

BertQA - Attention on Steroids

Machine learning, in numpy

Financial Web Scraper & Sentiment Classifier

Code for Describing a Knowledge Base

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

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

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

[ICLR 2021] Is Attention Better Than Matrix Decomposition?

Use NLP to predict stock price movement associated with news

Aspect Based Sentiment Analysis

Movie review dataset Word2Vec & sentiment classification Zeppelin notebook

A list of Twitter datasets and related resources.

Sentiment Analysis on twitter using Keras / TensorFlow / GloVe

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Sentiment analysis with variable length sequences in pytorch

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Attention mechanism for processing sequential data that considers the context for each timestamp.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

Chinese Sentiment Classification Tool. 情感极性分类，基于知网、清华、BosonNLP情感词典，易扩展，基准方法，开箱即用。

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.

No description or website provided.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

A Chinese financial sentiment word dictionary

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

LanguageCrunch NLP server docker image

Context-Dependent Sentiment Analysis in User-Generated Videos

Attention,Factorization Machine, Deep Learning, Recommender System

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

PyTorch implementation of some attentions for Deep Learning Researchers.

Transformer implemented in Keras

Aspect-Based Sentiment Analysis Experiments