huggingface

Fine tuned llama 3 models for context based question answering in bengali language.

Intelligent Help for Efficient Programming

Advanced PDF/Document Translator with interactive comparison. Built on IBM Docling.

Practical guide to fine-tuning LLMs like Gemma, LLaMA, and Mistral on custom datasets using popular frameworks.

ORLA is a web application that transforms text prompts into detailed 3D models using advanced AI technologies. With an intuitive interface and powerful backend, ORLA enables users to generate high-quality 3D assets quickly and easily.

Collection of recent advanced RAG techniques.

QuantLLM is a Python library designed for developers, researchers, and teams who want to fine-tune and deploy large language models (LLMs) efficiently using 4-bit and 8-bit quantization techniques.

The text summarizer project is an innovative tool designed to condense lengthy textual content into concise and informative summaries, enabling users to efficiently grasp the main ideas and key points of the original text.

Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2

GenAI 🧠 - 𝘸𝘰𝘳𝘬 𝘪𝘯 𝘱𝘳𝘰𝘨𝘳𝘦𝘴𝘴...

Use ESG-BERT model to classify text of sustainability reports

Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.

Streamlit app for 3D semantic segmentation of intra-oral teeth scans with MeshSegNet

This project is used to generate a blog post using Natural Language processing, Hugging Face Transformers and GPT-2 Model.

VettIQ is an AI-powered startup idea validation tool that leverages LangGraph workflows, FastAPI, and Streamlit to deliver actionable insights for entrepreneurs

H.E.I.M.D.A.L.L looks at fleet telemetry and gives you natural-language insights. GPU data loading (cuDF), local LLM inference (Gemma 2), and production NIM on GKE. Open the notebooks, run cells, get answers! Quick start should not take longer than 10 minutes and the T4 path is completely free!

Accelerate talent match, find right talents, amplify quality.

A tool for performing semantic search within pdf documents leveraging sentence transformers.

Multi-node distributed LLM training framework

Cloud-agnostic Agentic AI & Multi-Modal RAG platform with GraphRAG, intelligent routing, MCP enterprise integrations (Odoo, PostgreSQL), and pluggable LLM providers.