A Framework for Textual Entailment based Zero Shot text classification
Compilation of Natural Language Processing (NLP) codes. BONUS: Link to Information Retrieval (IR) codes compilation. (checkout the readme)
EEG-RAG is a Retrieval-Augmented Generation (RAG) system specifically designed for electroencephalography (EEG) research. It enables researchers, clinicians, and data scientists to ask natural language questions about EEG literature and receive evidence-based answers with proper citations.
PdfSnipper is a lightweight and efficient Python package designed to simplify the management of PDF files, pages, and their conversions during various NLP, Computer Vision (CV), or other data processing tasks. The package eliminates the need for repetitive code by providing intuitive, ready-to-use functions for common PDF-related operations.
A collection of powerful Natural Language Processing (NLP) tools and scripts for tasks like text preprocessing, sentiment analysis, keyword extraction, and more — built with Python and popular NLP libraries.
Retrieve text embeddings, but cache them locally if we have already computed them.
GPU acceleration extensions for Apache OpenNLP** to dramatically boost natural language processing performance with seamless integration and zero accuracy loss.
Smart text chunker for LLM preprocessing (sections → paragraphs → sentences → hard splits).
Verification-first test infrastructure for secure, dependency-aware Java to Python translation services.
Run BGE-small embeddings with low latency and minimal RAM using a dependency-free C engine for Python, Node, Go, Rust, and C.
Text Analysis Service is a lightweight PHP tool that provides detailed analysis of text.
Acoustic model for Khalka Mongolian
CSNePS Knowledge Graph Service is a production-ready enterprise system that bridges symbolic AI reasoning with modern ontology engineering. The system combines CSNePS (Cognitive Systems for Natural language Processing and Structured information) - a powerful semantic network reasoning engine - with comprehensive OWL ontology support, advanced graph
All about Natural Language Processing techniques.
A Python-based service for performing advanced text analysis,
Uzbek NLP Project
LinkedIn AI Caption Generator for automating social media captions generation
Word-level myPOS part-of-speech tagging for Burmese (Myanmar) text, backed by an XLM-R token classifier. Runs entirely on your own machine — paste Unicode Burmese, get word tokens + POS tags.
A sentiment analysis tool built using natural language processing techniques, integrating models like BERT and VADER to analyze text and provide sentiment analysis results.
This project implements PDDL-INSTRUCT with Logical Chain-of-Thought (LCoT), a novel approach to improve Large Language Model (LLM) performance on automated planning tasks. The system enhances planning capabilities through:
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