最有价值项目

A simple RAG chatbot that can retrieve from a mediawiki data dump

Machine Learning Project to Predict House Prices in Bangalore.

The multilingual language model XLM-R fine-tuned for metaphor detection on a token-level using Huggingface

Local CLI for Google's TranslateGemma translation models with multi-platform support (MLX for Apple Silicon, PyTorch for CUDA/CPU).

The Hugging Face API wrapper for Delphi leverages cutting-edge models to deliver powerful features, including object detection, music generation, text classification, sentiment analysis, image segmentation, speech-to-text transcription, and text generation.

Flan-t5-base model was fine-tuned on Nvidia Question and Answer Pair Dataset available on Kaggle. This is a beginner level project who wants to step in to the world of Large Language Models.

Text simplification for a better world: Deep-Martin Transformer 🤗

This node is based on MykolaL/StableDesign

Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text data labelling platform. Approaches: Snorkel and Zero-Shot Learning.

🤗🧑‍🚀 A collection of tools to help you deploy, bundle HuggingFace Spaces and related assets with ease.

Generate fake restaurant reviews with GPT-2 using Yelp Dataset

Open-source benchmark for evaluating LLMs on 220 real professional tasks across 9 sectors and 44 occupations. Reproducible experiments, artifact validation, grading, and a live evidence dashboard.

Run Qwen3.5 on your iPhone. No cloud. No API keys. No subscriptions. 100% on-device.

An open-source OpenAI wrapper for a RAG-based chatbot that seamlessly integrates with your documents.

visualization tool for vector search index

GraphRAG over any codebase — a Neo4j knowledge graph of code entities plus a 3072-dim vector index, bridged so one natural-language query walks structure and ranks by meaning. Python · Neo4j · OpenAI embeddings · Streamlit · Docker. Hybrid semantic + structural code search.

Our powerful image search engine uses vector databases to store and search for similar images. Upload your images and use an input image to quickly identify the closest matches. With our app, you can easily organize and search your image collection with speed and accuracy. Try it today!

Embedded database for agentic memory — relational, graph, and vector under unified MVCC transactions

Optimizing bit-level Jaccard Index and Population Counts for large-scale quantized Vector Search via Harley-Seal CSA and Lookup Tables

Exploring the Basics of Langchain