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.

🖼️ Leverage vision foundation models to transform visual data into effective tokens for autoregressive generation in this PyTorch implementation.

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:

LinkedIn AI Caption Generator for automating social media captions generation

A sentiment analysis tool built using natural language processing techniques, integrating models like BERT and VADER to analyze text and provide sentiment analysis results.

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

Uzbek NLP Project

A Python-based service for performing advanced text analysis,

Text Analysis Service is a lightweight PHP tool that provides detailed analysis of text.

📦 Simplify OCaml programming with nl6, a lightweight and efficient library for building natural language processing applications.

A Python library and web app for finding optimal tag wordings in zero-shot classification models. Test different label phrasings, measure accuracy vs confidence, and visualize which wordings work best for your use case.