Sentiment Analysis + Category Classification using LSTM in Pytorch

Implementation of the CBOW model using PyTorch and TorchText

Implementation of Kim (2014)'s CNN in PyTorch

I have recently gained knowledge on how to utilize PyTorch, an open-source machine learning framework that is known for its simplicity, performance, and APIs.

three-hierarchy multiclassification for desensitization text, using LSTM model

Text classification with torchtext pytorch library.

Using natural language processing, this project aims to match sentences with one of six predefined emotions.

In this repository, I built a Pytorch classifier for text documents.

nlp projects

torchtext使用指南

Dockfile containing LightGBM, Pytorch and TorchText with GPU Cuda acceleration

Fake news detection on LIAR-PLUS dataset using traditional machine learning techniques and deep learning techniques. Used a normal LSTM network and also contextual attention (with justification) for deep learning techniques.

English-Hindi translation with attention. WIP

Home Project for the Data and Knowledge Engineering class 2021 at Heinrich-Heine-University.

Tweet text classification with PyTorch 1-D CNN. Inspired by [Fernando Lopez's](https://github.com/FernandoLpz/Text-Classification-CNN-PyTorch) incorrect implementation of "Convolutional Neural Networks for Sentence Classification"

A web application to detect and classify toxic comments

Sentiment analysis on yelp reviews using pytorch.

NN to differentiate between real and fake news

This repository is an implementation of Paper "Robust Natural Language Inference Models with Example Forgetting", which studies importance of forgettable example in making robust NLI Models

Thought this might be helpful for people who are as confused as I was