{"repo":"apple/ml-interactive-data-augmentation","free":true,"listed":false,"github":"https://github.com/apple/ml-interactive-data-augmentation","clone":"git clone https://github.com/apple/ml-interactive-data-augmentation.git","description":"Interactive Data Augmentation (CHI 2025)","language":"Svelte","stars":34,"topics":["data-visualization","large-language-models","machine-learning","synthetic-data-generation"],"license":null,"category":"machine-learning","readme_excerpt":"Interactive Data Augmentation Amplio is an interactive research tool for data augmentation. The system visualizes the embeddings of input sentences and helps users systematically explore and fill in \"empty data spaces,\" i.e., parts of the desired dataset distribution with few or no data points. To do this, Amplio includes a suite of three human-in-the-loop methods for augmenting unstructured text datasets: Augment with LLM , Augment by Interpolation , and Augment with Concepts . This code accompanies the research paper: Exploring Empty Spaces: Human-in-the-Loop Data Augmentation Catherine Yeh, Donghao Ren, Yannick Assogba, Dominik Moritz, Fred Hohman ACM Conference on Human Factors in Computing Systems (CHI), 2025. Paper: https://arxiv.org/abs/2410.01088 Demo and Development Setup The system setup requires running two main components: (1) the backend server and (2) the frontend interface. The backend and frontend run on separate servers. First, create a secrets file and install the pipenv environment. Secrets File To add your API key, duplicate secrets example.json and rename it to secrets.json . Then copy and paste your own API keys in secrets.json . Install Requirements Install pipenv: Build requirements for project: Start virtual env: Backend Navigate into backend folder: Start the backend server: The server should now be running at 127.0.0.1:5000 . Frontend After the backend server is running, in a separate terminal window, navigate into frontend folder: Install dependenc","default_branch":null,"files":null,"tree":[],"storefront":"/r/apple","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/apple/ml-interactive-data-augmentation/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}