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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
| Date | Stars |
|---|---|
| 2026-07-31 | 264 |
| 2026-08-03 | 264 |
| 2026-08-04 | 264 |
| 2026-08-06 | 264 |
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### Place recognition with WiFi fingerprints using Autoencoders and Neural Networks Tensorflow implementation of model discussed in the following paper: [Low-effort place recognition with WiFi fingerprints using deep learning](https://arxiv.org/pdf/1611.02049v1.pdf) ### Tools Required Python 3 is used during development and following libraries are required to run the code provided in the notebook: * Tensorflow * Numpy * Pandas ### Dataset The UJIIndoorLoc dataset used for model training and testing, can be downloaded from the following [[link]]( https://archive.ics.uci.edu/ml/datasets/UJIIndoorLoc). <i>Note: If you see mistakes or want to suggest changes, please submit a pull request.</i>
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:33f7e05318cd75c4, topic:deep-learning