huggingface-transformers

A feature-rich web application for automated news scraping and summarization. It allows users to enter article URLs, fetches the full content, and generates concise summaries. The system supports both local inference with custom models and remote deployment via FastAPI or Streamlit interfaces.

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

Multi-node distributed LLM training framework

A PDF Question-Answering App built with RAG (Retrieval-Augmented Generation), allowing users to upload PDFs and ask context-based questions. Powered by Streamlit, LangChain, Ollama, and Chroma for efficient and accurate answers.

Finetuned Deepseek 8b model for finance reasoning

Generate summaries from texts using Streamlit & HuggingFace Pipeline

Collection of OSS models that are containerized into a serving container

Nautobot Model Context Protocol (MCP) Server - Contains STDIO and HTTP Deployments with Embedding Search and RAG.

Pizzly, financial market analysis combining technical indicators with LLMs, featuring real-time data processing and AI-powered market insights ⚡️

This is AlpaGasus2-QLoRA based on LLaMA2 with AlpaGasus mechanism using QLoRA!

Fast as Hamster | Stable Hamster | Stable Diffusion

An impelementation of image search engine using CLIP (Contrastive Language-Image Pre-Training

PyFrame splits GIFs into equal time windows and picks the frame with the highest motion delta from each one. This way you get good scene coverage and catch peak frames without sending every frame to AWS Rekognition cuts costs by ~93% with minimal accuracy loss.

An offline CPU-first low-resource chat application to perform RAG on your corpus of data. Powered by OpenChat and CTranslate2.

Microsoft Phi 2 Streamlit App, deployed on HuggingFace Spaces is based on the Microsoft Phi 2 small language model (SLM) for text generation.

NLP model that determines whether a plot is anime enough

Google Colabs to run many Falcon based LLMs

SAM + CLIP + DIFFUSION for image to edit objects in images using plain text

Python script to fine tune Open source Video Vision Transformer (ViVit) using HuggingFace Trainer Library

An implementation of LazyLLM token pruning for LLaMa 2 model family.