https://github.com/ansonyuu/matchmaking

Embedding space of names clustered based on their interests using the sentence-transformers all-MiniLM-L6-v2 model
https://github.com/ansonyuu/matchmaking

Last synced: 13 days ago
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Embedding space of names clustered based on their interests using the sentence-transformers all-MiniLM-L6-v2 model

• Host: GitHub
• URL: https://github.com/ansonyuu/matchmaking
• Owner: ansonyuu
• Created: 2023-05-24T23:46:47.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-01T16:03:08.000Z (19 days ago)
• Last Synced: 2024-11-01T17:17:52.723Z (19 days ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 480 KB
• Stars: 121
• Watchers: 1
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Embedding Matchmaking

_"Words can't describe how unique your interests are... but coordinates can" - Sean Ashley, circa 2023_

A flattened embedding space of names clustered based on their interests using the sentence-transformers all-MiniLM-L6-v2 model. Created for the UW Startups S23 Kickoff event with guidance from [Jacky Zhao](https://jzhao.xyz/) and [Sean Ashley](https://www.linkedin.com/in/sean-ashley). [Simha Kalimipalli](https://github.com/Simha-Kalimipalli) later aded interactivity!

![Sample output of script](https://github.com/ansonyuu/matchmaking/blob/main/sample.png?raw=true)

## Instructions for use

1. Collect or format your data in the following format

| Name  | What are your interests? (or varying permutations of this question) |

| ----- | ------------------------------------------------------------------- |

| Alice | I love being the universal placeholder for every CS joke ever       |

| Bob   | I too love being the universal placeholder for every CS joke        |

2. Clone the repository

3. Install all required packages using pip or conda:

- `umap-learn`

- `scikit-learn`

- `scipy`

- `sentence-transformers`

- `matplotlib`

- `pyvis`

- `pandas`

- `numpy`

- `seaborn`

- `branca`

4. Replace `attendees.csv` in `visualizer.ipynb` with the path to your downloaded data

5. Run all cells

6. Bask in the glory of having an awesome new poster

7. Make two (!) cool interactive visualizations