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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.

Sentiment Analysis of Yelp Review Dataset using Hugging Face pre-trained BERT with fine-tuning

A LLaMA2-7b chatbot with memory running on CPU, and optimized using smooth quantization, 4-bit quantization or Intel® Extension For PyTorch with bfloat16.

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

Command Line AI Assistant using HuggingFace Inference API

AI model for making mazes that extends OpenAIs GPT2 model

Text to emoji translation via DeepDreaming

Dockerized FastAPI wrapper for OmniVoice — zero-shot TTS for 600+ languages with voice cloning, voice design, and OpenAI-compatible API. GPU & CPU support.

Code Repository for the IndicXNLI paper.

Local RAG app with zero-config Docker setup. FastAPI + Streamlit + Qdrant + Ollama. Just run `docker-compose up --build`! 🚀

🧠 Personal knowledge MCP server with vector database for Opencode. Store and retrieve knowledge using semantic search, powered by local embeddings.

This tool provides a fast and efficient way to convert text into vector embeddings and store them in the Qdrant search engine. Built with Rust, this tool is designed to handle large datasets and deliver lightning-fast search results.

Find the images in your dataset most similar to a query image from URL or drag-and-drop, with FiftyOne!

Implements a framework to build Generative AI applications.

Universal memory layer for AI applications. Self-host in minutes. Open source.

A curated list of awesome Pinecone resources, libraries, tools and applications

CLI tool for OpenAI compatible APIs

LangGraphRAG: A terminal-based Retrieval-Augmented Generation system using LangGraph. Features include message history caching, query transformation, and vector database retrieval. Ideal for NLP researchers and developers working on advanced conversational AI and information retrieval systems.

High-Ratio Vector Quantization