Demo App deployed on huggingface spaces using Gradio which shows 2 methods AnimeGANV2 and OpenCV to cartoonify images.

This is a web application project made as part of the course Web Applications at the Faculty of Informatics in Pula. Project is made using Gradio and Streamlit frameworks

NLP model that determines whether a plot is anime enough

Creates summary for YouTube video based on subtitles

extending stable diffusion prompts with suitable style cues using text generation

A fast, minimal URL shortener web app with FastAPI

Photos stylisation using deep neural networks: anime and art style.

NLP model that predicts subreddit based on the title of a post

Implementation of MagicMix: Semantic Mixing with Diffusion Models paper

Next.js on 🤗 Spaces

associated with eye-disease-classification project [link](https://github.com/yxmauw/eye-disease-classification)

A minimalist Docker project to get started with Node and Express. Ready to be used in a Hugging Face Space.

A minimalist Docker project to get started with Node, llama-node and Express. Ready to be used in a Hugging Face Space.

A minimalist Docker project to help people getting started with Node, Python, Express and TypeScript. Ready to be used in a Hugging Face Space.

A minimalist Docker project to help people getting started with Node, CTransformers, Express and TypeScript. Ready to be used in a Hugging Face Space.

A project to classify the emotion of a given text into one of the following categories: anger, fear, joy, love, sadness, surprise. The model is built using the BERT architecture and is trained on the Emotion Dataset from Kaggle.

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