🤗 AeroPath: An airway segmentation benchmark dataset with challenging pathology
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Updated
Aug 1, 2025 - Jupyter Notebook
🤗 AeroPath: An airway segmentation benchmark dataset with challenging pathology
A composite GitHub Action to login to the HuggingFace Hub
⚓ Minato: A Unified File I/O Library for Python
HuggingFace Hub mirror on Cloudflare Workers
An inprogress tool to speed up your desktop workflow, with the ability to upload from your desktop without the need for Jupyter or CLI.
Dolphin 3.0 🐬: Versatile AI for coding, math, and more
provide specialized immigration assistance in the field of immigration law using large language model
Budget Buddy is a finance chatbot built using Chainlit and the LLaMA language model. It analyzes PDF documents, such as bank statements and budget reports, to provide personalized financial advice and insights. The chatbot is integrated with Hugging Face for model management, offering an interactive way to manage personal finances.
Using paraphrase(text2text generation) model from huggingface in Python desktop app
AM I HUMAN? is a hilarious and slightly paranoid computer vision project that detects gender, age, and liveness basically idea ripped right out of futuristic scanner in Men in Black
A simple CLI wrapper for HuggingFace Hub to enable more fine-grained control when downloading and uploading files.
Analyze GitHub repository based on pre-trained model, then generate related topics('#').
Hugging Face Plugins for FiftyOne
🤖 Fine-tuned a small GPT-2 model to answer questions (question answering tasks). A hands-on project exploring how language models can be guided to specialize with minimal data.
Huggingface_Connection-Testscript
Gemma 3: Google's multimodal, multilingual, long context LLM.
Voice message to text (Whisper) + local LLM answers (Mistral-7B). Works offline, 100+ languages. Perfect for interviews & automated Q&A.
Optimized CPU Implementation of Llama2-LLM
Fine tuning Falcon 7b
🌟Vectonic - Optimized App Creator And Publisher🌟 produces an optimized application and shares it privately and securely to huggingface so that junior executives can immediately produce a high performance knowledge retrieval application for enterprise.
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