nagarajameher/Image-Captioning

Image Captioning using CNN, BERT and RNN

Language: Python - Size: 12.7 KB - Last synced at: about 6 hours ago - Pushed at: about 7 hours ago - Stars: 0 - Forks: 0

YashBoda/Airline-complaint-category-tagging

BERT-based sentiment & category classification of airline reviews with web scraping, GPU accelerationBERT-based sentiment & category classification of airline reviews with web scraping and GPU acceleration

Language: Jupyter Notebook - Size: 4.21 MB - Last synced at: about 17 hours ago - Pushed at: about 19 hours ago - Stars: 0 - Forks: 0

Prottoy-Dev/QA_FineTuning_SQuAD

This project demonstrates fine-tuning a transformer-based model for Question Answering (QA) using the Stanford Question Answering Dataset (SQuAD). The notebook walks through data preprocessing, model training, evaluation, and inference steps.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

mlcom/mlcom.github.io

ML Community

Language: CSS - Size: 12.8 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

moeedfaiz/Misinformatiom-classification-detection-webapp-in-flask

A Flask-based misinformation detection app powered by BERT and OCR. Users can enter text or upload an image, the app extracts text (via Tesseract OCR), classifies it as True/False, and fetches verified links for true information.

Language: Python - Size: 751 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Avaneesh40585/Email-Spam-Classification

Advanced email spam detection system featuring both BERT (DistilBERT) and optimized RoBERTa implementations. RoBERTa version includes anti-overfitting techniques (layer freezing, progressive dropout, early stopping), smart model detection, and achieves 99.48% accuracy with production-ready inference capabilities.

Language: Jupyter Notebook - Size: 2.83 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

approximated-intelligence/embedding-distillation

Train a pooling Head for Dense Embeddings

Language: Python - Size: 105 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

ShingiraiBhengesa/BERT4News

End-to-end ML system using BERT embeddings and neural collaborative filtering for personalized news delivery.

Language: Python - Size: 63.5 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

balamarimuthu/flask-bert-sentiment

A simple Flask API for real-time sentiment analysis using a fine-tuned BERT model

Language: Jupyter Notebook - Size: 49.8 KB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

Dipanshu7777/safeguard-chat-app

Real Time chatting app to flag toxic messages

Language: JavaScript - Size: 382 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 8 - Forks: 0

kbzh2558/LLM_Emotion_Classification

Emotion Classification with LLMs

Language: Jupyter Notebook - Size: 87.4 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

ayazkhan27/anonymity

This project repository is a combination of all R and Python files that have led up to create the Sentiment Gummy Worm scoring model, which is a predictive randomForest model that calculates the mean sentiment score of a sentence based on buffer ratios, decay factors and input length.

Language: R - Size: 18.5 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

redhat-et/semantic_router

LLM Semantic Router: Intelligent Mixture-of-Models (MoM) System with Privacy Preservation and Prompt Guard. The semantic router intelligently directs OpenAI compliant API requests to the most suitable backend models based on semantic understanding of request content.

Language: Python - Size: 3.23 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 19 - Forks: 6

Phillips-Ugo/Alpha-Quant

Alpha Quant is an AI-powered financial analysis platform that lets users track real-time stock performance, receive the latest news and sentiment, and gain intelligent insights, as well as analyze different stock performances. With LSTM-based price predictions and smart sentiment analysis, Alpha Quant brings cutting-edge AI to personal investing.

Language: Jupyter Notebook - Size: 7.77 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

darkstylz99/Airline-complaint-category-tagging

✈️ Classify airline reviews by sentiment and category using BERT, with GPU acceleration for faster processing and insights through data visualization.

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

ShlokArora2709/ESG-Project

This project automates ESG data collection and analysis by scraping ESG ratings and gathering related news articles. It uses a fine-tuned mBERT model to classify articles into ESG categories, providing insights into companies' performance and public sentiment.

Language: Jupyter Notebook - Size: 8.6 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 1

pranayshekhar01/bert-sentiment-analyzer

A sentiment analysis web app powered by BERT, built with Streamlit. Classifies IMDb movie reviews as positive or negative with 93% accuracy.

Language: Jupyter Notebook - Size: 161 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

SerhatKaraman0/GRAD-NLP-PROJECT

Sentiment Analysis for Product Reviews Deep Learning Models for the Capstone project

Language: Python - Size: 128 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

yobslob/Sevak

Sevak aims to serve as a guardian against scam calls for people and it does so by analysing conversations in real time and also providing users with intelligent “trap-setting” replies in parallel to “test” the scammer and boost the confidence of being a scam call.

Language: JavaScript - Size: 255 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

zthsk/CEBERT

This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)

Language: Python - Size: 792 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

shank959/crypto-price-prediction-and-sentiment-analysis

This cryptocurrency market sentiment analysis tool leverages a fine-tuned RoBERTa model for 98% accurate sentiment classification of cryptocurrency-related news articles. It uses Selenium and BeautifulSoup for web scraping news articles and provides insightful market sentiment analysis and data visualization

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

scr4shdev/ai_text_classifier

AI vs Human Text Classifier based on Multinomial Naive Bayes and DistilBERT fine-tuning.

Language: Python - Size: 11.7 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

armandanusca/topic-modelling-risk-factors

A prototype pipeline to extract topics and forecast their importance from annual statements

Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

LeNguyenAnhKhoa/Russian-Emotion-Detection

Emotion Detection for Russian language base on Bert

Language: Python - Size: 269 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 3 - Forks: 0

coimf/classiphi

Accurate classification of topics and skills tested in competitive math problems

Language: Python - Size: 4.34 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

shaharoded/BERT-Very-Not

An experimental NLP project aiming at exploring methods to fine-tune BERT model to better distinction of negation

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

isinyavin/sentiment_analysis_using_emojis

Machine learning model trained on 520K social media comments generating probability distribution of emojis based on textual context.

Language: Python - Size: 161 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

Parth-Udawant/Sentiment-Analysis-using-DistilBERT

Language: Jupyter Notebook - Size: 3.88 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

dreamypies19/AG-News-Topic-Classifier

Fine-tune a BERT model for news topic classification using the AG News dataset. Explore predictions through an interactive Gradio interface. 🚀📊

Language: Jupyter Notebook - Size: 488 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Sanofi-Public/Clinical-BERT-Explainability

To explain clinical BERT model predictions, we present an approach which leverages integrated gradients to attribute events in medical records that lead to an outcome prediction.

Language: Python - Size: 775 KB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 10 - Forks: 1

TirendazAcademy/Bert-Text-Classification-Gradio-App

End-to-end text classification project with Transformers, Comet ML, and Gradio

Language: Jupyter Notebook - Size: 8.58 MB - Last synced at: about 12 hours ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2

ByUnal/AviBERT

Domain specific (Aircraft) Bert models trained on uniquely collected data.

Language: Python - Size: 39.1 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

zoppellarielena/BiLSTM-vs-BERT-in-feature-extraction-for-Neural-Dependency-Parsing

Completed as part of the "Natural Language Processing" course, this project employs the ArcEager parsing algorithm. Implementation is carried out using PyTorch and the Hugging Face library for utilizing pretrained BERT models.

Language: Jupyter Notebook - Size: 230 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

lavrentyukann/Predict_Tea_Descriptors_and_Bot

The main idea of this project: using ML to predict tea descriptors and creating a chat-bot, which recommends tea on user's request

Language: Jupyter Notebook - Size: 44.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sleepingcat4/bert-textgeneration

A complete guide in generating text using bert and fine-tune

Language: Jupyter Notebook - Size: 687 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 2

AubinGil/ModernBERT_classifier

Repo for applications of BERT in clinical settings

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Vaishnavi-vi/Comment_Toxicity_detection_--

This project focuses on detecting toxic comments using **Deep Learning** models, including **LSTM**, **CNN**, and **BERT**. It is designed to classify user comments into toxic or non-toxic categories, helping to filter harmful content on online platforms.

Language: Jupyter Notebook - Size: 533 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

iremalgul/turkish-gsm-absa

Multi-Target Sentiment Analysis of Turkish Comments on GSM Operators (TÜBİTAK 2209-A supported)

Language: Python - Size: 291 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

AntonisZks/Deep-Learning-for-Natural-Language-Processing

This repository focuses on Deep Learning in NLP and implements sentiment classification models on a Twitter Dataset, using machine learning algorithms. It is based on an assignment from the Department of Informatics and Telecommunications at the University of Athens (DIT UOA).

Language: Jupyter Notebook - Size: 51 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

10nm/irony_nlp

日本語の対話における皮肉検出に関する研究レポジトリ

Language: Python - Size: 589 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

BHK4321/Masked-Word-Prediction

Language: Jupyter Notebook - Size: 5.28 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

chizo4/SciFCheX

Public release of SciFCheX system developed for COM3610 Dissertation Project at the University of Sheffield. The pipeline is designed to perform fact-checking on scientific claims.

Language: Python - Size: 4.62 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

sarthakm402/Smart_Recommender_system

Uses sentiment analysis and recommendation algorithms to provide personalized hotel suggestions.

Language: Python - Size: 31.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

sushovanAdhikari/AI_Phish_Guard

AI Phish Guard is an app that can retrieve your gmails and provide you insights on the AI Generated Phishing Content. It uses OAuth for login and also uses custom JWT, you can either provide consent to access Gmail Data or you can manually upload a CSV to scan for AI Generated Phishing Content. The app is integrated with ML model deployed in hf.

Language: TypeScript - Size: 702 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Mp40860868/git-hub-class

# git-hub-class This project demonstrates how to use Git and GitHub effectively within Visual Studio Code. Explore features like version control and collaboration with ease! 🐙💻

Language: HTML - Size: 30.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

dangvonguyen/nlp

Natural Language Processing projects implementing various techniques

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

4darsh-Dev/dark_pattern_detector_app

Dark Pattern Detection using fine Tuned BERT Model, powered by CogniGuard project with streamlit web app

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: about 19 hours ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1

McKlay/SentimentAnalysisV2

A full-stack sentiment analysis web application powered by BERT transformers.

Language: JavaScript - Size: 504 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

CDurepos/neutral-net

Neutral Net is a React/Flask web application developed for the COS398 Ethics and Social Impacts of Computing course at the University of Southern Maine. This application utilizes SerpAPI and a fine-tuned BERT model to analyze Google search results for bias.

Language: TypeScript - Size: 33.2 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Mushfiqur6087/NLBSE-25

Repository for "Code Comment Classification with Data Augmentation and Transformer-Based Models", submitted as a solution for the NLBSE'25 Code Comment Classification Tool Competition. This repository hosts all relevant scripts, datasets, and model configurations used in the project.

Language: Jupyter Notebook - Size: 3.54 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

matancohen1205/Resume_Reveal

Predict seniority level from resume text and job role.

Language: Jupyter Notebook - Size: 5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ikram98ai/fakenews_detection_bert_aws_pipeline

End-to-end ml pipeline with sagemaker for detecting fake-news with BERT

Language: Jupyter Notebook - Size: 178 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AnuragChaudhari9/Sentiment-Analysis-of-Conversations

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MatheusADC/FineTunningBERT

O projeto utiliza o BERT da Google para realizar o fine-tuning de um código que detecta discursos de ódio.

Language: Python - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Sourabh-25/Answerability-Detection-with-a-dual-model-approach

An attempt to detect answerability of a question based on given context

Language: Python - Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

dp-ops/ABSA

Aspect Based Sentiment Analysis using greek review dataset scrapped from Skroutz

Language: Python - Size: 103 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Protosec-Research/PwnBERT

A project based on Fine-tuned BERT to detect GLIBC vulnerabilities.

Language: Python - Size: 71.3 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 45 - Forks: 11

Snigdho8869/Multiclass-Text-Classification

Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 29 - Forks: 4

sangampaudel530/movie-review-sentiment-analyzer

A sentiment analysis web app powered by BERT, built with Streamlit. Classifies IMDb movie reviews as positive or negative with 93% accuracy.

Language: Jupyter Notebook - Size: 854 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

janaghoniem/Social-Media-Sentiment-Analysis

This project uses deep learning and machine learning models to classify text sentiment as Positive or Negative. The models were trained for English and Arabic to ensure high accuracy for each language.

Language: Jupyter Notebook - Size: 43.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 2

firojalam/crisis_datasets_benchmarks

Crisis Dataset for Benchmarks Experiments

Language: Python - Size: 1.41 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 4

Kaushik-Puttaswamy/Master-Thesis-Transparency_MedTranscription_BERT_XAI

Enhancing Transparency in Medical Text Transcription Classification: Assessing BERT Pre-trained Language Model Performance and Decision-Making Using Explainable AI (XAI) Techniques

Language: Jupyter Notebook - Size: 17 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

taylor-marrion/LLM_VulnHunter

LLM-Based Vulnerability Detection in Tokenized Assembly: A Case Study on CWE-457

Size: 164 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Razvan48/Proiect-Natural-Language-Processing-NLP

Proiect Natural Language Processing (NLP) Anul 3, Semestrul 2, Facultatea de Matematica si Informatica, Universitatea din Bucuresti

Language: Jupyter Notebook - Size: 132 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sumeethande/informatiq-app

Codebase for the InformatIQ💡 app. This app uses Deep Learning methodologies to extract important information from PDF files. Ideal use case for this app is extracting information from University module handbooks.

Language: Python - Size: 10 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mE-uMAr/nlp-byteBrains

Its an NLP Based Resume Analysis and Job Recommendation System built using Transformers like BERT, Roberta, Distillbert and for web application Django is used

Language: HTML - Size: 952 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AndyMalela/Finetune-BERT

Storing a simple project of me fine-tuning and training BERT for a text classification task.

Language: Python - Size: 2.42 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

pietrosaveri/SWSW-SD

Shocking Water is still Wet

Language: Jupyter Notebook - Size: 78.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Kr1mson/Stack_pop

A curated collection of four transformer models-BERT, RoBERTa, ALBERT, and DistilBERT-each fine-tuned on 60,000 Stack Overflow questions.

Language: Jupyter Notebook - Size: 4.49 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

abhi227070/Fine-Tuning-BERT-for-Text-Classification

In the realm of medical research and diagnostics, the classification and analysis of cancer-related data hold immense importance. Leveraging state-of-the-art natural language processing (NLP) techniques, this project endeavors to classify textual data associated with cancer-related information using BERT - a powerful LLM developed by Google.

Language: Jupyter Notebook - Size: 168 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Abhigyan126/Spam-classification-using-Transformers

Classifying youtube spam comments using transformers- BERT

Language: Jupyter Notebook - Size: 354 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

heliumind/msc-thesis

Code and text for my master's thesis

Language: TeX - Size: 3.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

davutbayik/metacritic-games-sentiment-analysis

Sentiment analysis to Metacritic games reviews using a fine-tuned and pre-trained BERT model and visualizations using matplotlib, seaborn, plotly libraries.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

NishanthN27/RouteWise-A-Sentiment-Driven-Customer-Support-Routing-System

Language: Jupyter Notebook - Size: 118 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

KeshavElangoDS/Mental-Health-Analysis-using-Social-Media-Data

Machine learning project to detect and classify mental health-related social media posts using NLP techniques for early intervention and awareness.

Language: Jupyter Notebook - Size: 32.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

purvapr13/Amny_Chatbot_Hackathon

Language: Python - Size: 207 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

SayamAlt/Symptoms-Disease-Text-Classification

Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.

Language: Jupyter Notebook - Size: 860 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

DSXiangLi/ChineseNER

中文NER的那些事儿

Language: Python - Size: 117 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 318 - Forks: 57

ksm26/Embedding-Models-From-Architecture-to-Implementation

Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search and RAG systems.

Language: Jupyter Notebook - Size: 2 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

sskeen/bar_policy_suicidality

Archival code and open materials: 'Passive suicidality in a repressive U.S. political context.' Additional documents, including a populated pre-analysis plan ("P-PAP"), hosted on Open Science Framework.

Language: Jupyter Notebook - Size: 3.63 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

dkeyGit/Relevance-Classifier

A microservice for the automatic classification of online feedback sentences for requirements engineering using a fine-tuned LLM

Language: Jupyter Notebook - Size: 122 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

4darsh-Dev/CogniGaurd

A web extension for identifying dark pattern on websites powered by Fine Tuned BERT Model for classificaiton on dark pattern custom dataset,

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 19 hours ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 49

SayamAlt/Language-Detection-using-fine-tuned-XLM-Roberta-Base-Transformer-Model

Successfully developed a language detection transformer model that can accurately recognize the language in which any given text is written.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 4

shrikantnaidu/BERT-for-Text-Classification-with-TensorFlow

Language: Jupyter Notebook - Size: 71.3 KB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 4

MicheleCazzola/llms4subjects Fork of RonPlusSign/llms4subjects

Our solution to the SemEval 2025 Task 5 - LLMs4Subjects. Developed as academic project at Polytechnic of Turin, A.Y. 2024-25

Size: 1.02 GB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

litus-ai/classy

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

Language: Python - Size: 2.99 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 87 - Forks: 3

Maximo-Rulli/Auto-CNC

Sorting and oganizing a factory's production using Machine Learning

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

delarosajav/HateSpeech-BETO-cased-v2

A fine-tuned model for detecting hate speech in Spanish, targeting racism, homophobia, sexism, and transphobia. Built on dccuchile/bert-base-spanish-wwm-cased, it’s trained on the manueltonneau/spanish-hate-speech-superset dataset with additional Paul dataset samples for improved accuracy and nuance. Ideal for content moderation.

Size: 370 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

torleifg/multi-label-bert-classifier

A collection of Jupyter Notebooks for fine-tuning BERT models on multi-label classification tasks (e.g. genre and form classification of book reviews).

Language: Jupyter Notebook - Size: 34.6 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

codeonthespectrum/Curupira.ia

CurupiraIA: A Brazilian Portuguese hate speech detection model using BERT fine-tuning, inspired by folklore guardianship principles to protect digital communities from toxic content.

Language: Jupyter Notebook - Size: 348 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

EveryOneIsGross/qBERT

chat with your base bert model

Language: Python - Size: 73.2 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

rubenahrens/BioBERT-NER

This project involved fine-tuning BioBERT on the CSIRO Adverse Drug Event Corpus (CADEC) dataset to perform Named Entity Recognition (NER) and detect adverse drug responses through customer reviews.

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AshutoshDongare/softskill-NER

Fine tuning 🤗 transformer model for softskill NER task

Language: Jupyter Notebook - Size: 65.4 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

Pavansomisetty21/Tabular-Question-Answering-on-Relational-data-and-CSV-data-with-Gemini-LLM

In this we explore into a Question Answering task on structured relational data (Tables) and CSV data

Language: Jupyter Notebook - Size: 58.6 KB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 0

Vasang123/Edge-IotDistilbert

Edge-IoTDistilbert Documentation

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

haarry9/ner-bert-api

Named Entity Recognition (NER) BERT API built with 🤗 Huggingface and⚡FastAPI.

Language: Python - Size: 217 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

devroopsaha744/HateSpeechDetect-text

In this project, I focused on benchmarking various machine learning models, deep learning architectures, and fine-tuned BERT-based models to evaluate their performance across multiple metrics

Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

SuroBuro/BERT-Misogyny-Checker

This is a misogyny detection model created on top of the base BERT model. It has been fine-tuned on the data provided in CSEA for AI for Safer Online Spaces for Women Submission

Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

emilh7279/german-sentiment-feedback-analysis

📊 German Sentiment Analysis for Service Desk Feedback with TextBlob-de, Hugging Face's BERT, and Custom Self-Trained Models. Welcome to the German Sentiment Analysis project, where we utilize TextBlob-de, Hugging Face's BERT, and Custom Finetuned Models for analyzing customer feedback from a service desk.

Language: Python - Size: 58.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Vidhi1290/Multi-Class-Text-Classification-using-BERT-Model

Predict consumer financial product categories using BERT, based on over two million customer complaints. This project involves data processing, model building with pre-trained BERT, and making predictions on new text data.

Language: Jupyter Notebook - Size: 26.4 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0