Build an end to end pipeline for Named Entity Recognition (NER) by a pretrained Huggingface transformer, BERT and deploy to google cloud platform using Docker, CI/CD tool: CircleCI.
-
Updated
Apr 24, 2024 - Jupyter Notebook
Build an end to end pipeline for Named Entity Recognition (NER) by a pretrained Huggingface transformer, BERT and deploy to google cloud platform using Docker, CI/CD tool: CircleCI.
SetFit Model 3: Annotation and Fine-Tuning Deep-Learning Model for Stance Detection
Data preprocessing and training on Drug Review Dataset using Hugging Face library
📒 BuggyBuddy Notebook is a crucial component of the BuggyBuddy project, serving as the core for data analysis and deep learning model exploration that underpins the entire BuggyBuddy project.
Compound NLP GUI project, First used many ML algorithmes (SVM,Logistic Regression...etc) for nlp tasks like "News Classification",seconedly used specialized NLP tools for task like "Text Summerization",Thirdly used Deep Learning for NLP task like"Machine Translation",fourthly web scraping and pre-trained models for task"Code Generation"
Chatbot with Intent Pattern Recognition & Speech Recognition [WIP]
NLP Text Emotion Detection using tensorflow keras. This is a web based project.
summer research on NLP & LLM using deep neural networks to compete with arXiv in-house classifiers
Natural Language Processing: Model Comparison between BERT and Hierarchical Attention Networks
An advanced web application specialized in the automatic classification of medical abstracts. Leveraging natural language processing (NLP) techniques.
BERT Model 2: Annotation and Fine-Tuning Deep-Learning Model for Passage Boundary Detection
The voice-controlled robot system features four simple commands: forward, backward, left, and right.
The goal of the project is to detecte inappropriate Reddit posts and warn users about explicit content in these posts.
DistilBERT for performing a NLP task
aims to develop a movie recommendation system utilizing Natural Language Processing.
The objective is to evaluate the English language proficiency of 8th-12th grade students by analyzing their essays. To enhance the support for ELLs, a model will be developed using Deep Learning techniques. This model can help reduce the grading burden for teachers and provide better feedback to students on their essays.
Transformer-encoder for performing a NLP task
Application that predicts business events, extract named entities and topics from news articles
BERT Model 1: Annotating and Fine-Tuning Deep-Learning Model for Binary Text Classification
Add a description, image, and links to the nlp-deep-learning topic page so that developers can more easily learn about it.
To associate your repository with the nlp-deep-learning topic, visit your repo's landing page and select "manage topics."