Python 排行榜

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

Re-ranking task using MS MARCO dataset and Hugging Face library

Model-independent sketch-to-image studies: seed scouting, controlled variation, replayable manifests, and a zero-download local tour.

Train and fine-tune diffusion models. Perform image-to-image class transfer experiments.

huggingface.co/chat api. Fixed stream response & web search.

Text Summarization using Transformer on GPU Docker Deployment

multilingual RAG

Hugging Face Model downloader and GGUF Converter.

AI text humanization tool with detection capabilities. Transform AI-generated content into natural, human-like writing using advanced NLP models (T5, BART, Pegasus). Features real-time AI detection, multi-model paraphrasing, and a modern Svelte frontend.

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.

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

Command Line AI Assistant using HuggingFace Inference API

AI model for making mazes that extends OpenAIs GPT2 model

Code Repository for the IndicXNLI paper.

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

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.

A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference.

ToucanDB is a brand-new micro ML-first database engine 🦜

An advanced AI-powered conversational agent leveraging the Llama 3.2 model and Phidata framework. Features include reasoning, natural language interaction, and tool integration for web searches and calculations. Designed for interactivity with enhanced logging, support for custom tools, and structured outputs.