⚡ 基于PyTorch的多种模型文本分类框架

中文情感分类 | 基于三分类的文本情感分析

A ML project specifically build for predicting students' mental health

Medical Question Answering System.

M.Sc. mini project for NLP class (M908)

Source code and the details of the results in the paper "Named entity recognition in Turkish: A comparative study with detailed error analysis".

Simulation of Nanopore Sequencing Signals Based on BiGRU

👾 리그오브레전드 소환사 이름 기반 티어 예측 & 워드클라우드 분석

Our project aims at classifying the given news articles as fake or true based on the content using few-shot learning models with fewer data.

Made a Image Caption Generator

Predicted Delhi’s daily climate using Autoregressive Integrated Moving Average (ARIMA), Prophet, and Recurrent Neural Network (RNN) models for time series forecasting.

Implementation of CNN and bi-GRU in parallel to solve text classification. In this particular example, I and my colleague, Ida Novindasari, use the AG news dataset from torchtext.datasets.

toxic comment classification using various model

Deep learning models and fine-tuned transformers for detecting mental illness from user content on Reddit. 🧠

Aspect based sentiment analysis in tunisian dialect

This repository hosts a high-performance deep learning model designed to identify misogynistic content in Arabic social media text. Developed as an academic project, the model successfully overcomes significant linguistic challenges, such as dialectal variation and high Out-of-Vocabulary (OOV) rates.

Ethereum price prediction using Internal and External Factors

In this repository, we deal with the task of implementing Natural Language Inferencing (NLI) using the SNLI dataset. Different methods such as BiLSTM, BiGRU, Attention models and Logistic Regression are experimented.