H

HuggingFace

Academic NLP project focused on multilingual text summarization using Transformer-based deep learning models and natural language processing techniques.

Automated Dataset Creation & Publishing Pipeline - Scrape, clean, transform, validate and publish datasets to HuggingFace Hub

https://ayinedjimi-consultants.fr

A command-line tool for running small language models locally using Hugging Face transformers.

A full-stack web application designed to bridge the gap between complex mathematical expressions and clean, compilable LaTeX code. This project leverages Machine Learning (Hugging Face models) to take raw text or messy equations and transform them into optimized, industry-standard LaTeX.

The system features a ReactJS frontend for real-time editing and a Python/Flask backend. To keep the deployment lightweight and free-tier friendly (Render/Railway), the project utilizes an External API Proxy Pattern for PDF generation, eliminating the need for a 2GB+ local TeX distribution.

Fine-tune SeaLLM-7B / Llama-3-Thai ด้วย QLoRA

This project delivers an AI-powered chatbot with versatile capabilities, including document-based question answering and summarization, image captioning, and audio interaction.

The project provides an end-to-end solution for converting speech to text and analyzing content through semantic segmentation and summarization. It is especially useful for processing lectures, interviews, podcasts and other long audio content.launching the speech analyzer

This project is an intuitive web application for image processing, built with Gradio.

It integrates a variety of image processing techniques I've learned, including vignetting, edge detection, image resizing, and noise generation. The goal is to provide a simple, no-code interface for anyone to apply these common image manipulations.

You can try the live demo here: Huggingface :https://huggingface.co/spaces/Lifth/Image_processing_function

Emacs AI-powered text & code completion client

LLM powered chatbot for discussing the Reformed Christian faith (with a lean towards Presbyterianism).

https://gitlab.matthewrease.net/matthew/reformed-dave

BDS LLM Chat - Hugging Face API Wrapper

A Flask-based chat application that serves as a wrapper for the LLaMA 3.2 model from Hugging Face. This application provides a user-friendly web interface and API for interacting with the model.

Features Modern responsive UI with dark/light mode support Persistent chat history in browser localStorage Markdown rendering for model responses REST API compatible with OpenAI-style endpoints Centralized model worker for efficient inference Redis-backed queue for robust request handling Queue-based architecture for handling multiple requests Admin dashboard for user and API key management External API access with API key authentication MongoDB-based persistence for chats, users, and API keys

Practica de un Guardrail, usando el clasificador de facebook.

Using Natural Language Processing (NLP) on job ads for applications in Econometrics.

Terminal and Web client for Text Completion tasks written in Go - various Hugging Face's hosted LLMs

Terminal Text to Image client written in Go - various Hugging Face's hosted diffusers models

Motivation Letters Expert system with LLM to enhance the given motivation letters.

ANTIDOTE's ACTA Module for Finetuning Transformers for Argumentation Mining.