hippoformer
Project description
Hippoformer (wip)
Implementation of Hippoformer, Integrating Hippocampus-inspired Spatial Memory with Transformers
Citations
@inproceedings{anonymous2025hippoformer,
title = {Hippoformer: Integrating Hippocampus-inspired Spatial Memory with Transformers},
author = {Anonymous},
booktitle = {Submitted to The Fourteenth International Conference on Learning Representations},
year = {2025},
url = {https://openreview.net/forum?id=hxwV5EubAw},
note = {under review}
}
@article{Li2020GridCA,
title = {Grid Cells Are Ubiquitous in Neural Networks},
author = {Songlin Li and Yangdong Deng and Zhihua Wang},
journal = {ArXiv},
year = {2020},
volume = {abs/2003.03482},
url = {https://api.semanticscholar.org/CorpusID:212634300}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hippoformer-0.0.14.tar.gz
(769.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file hippoformer-0.0.14.tar.gz.
File metadata
- Download URL: hippoformer-0.0.14.tar.gz
- Upload date:
- Size: 769.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
854e99f37f08eee57e2f3222e4274b2a6f6bedf31fd563819ffb520878319754
|
|
| MD5 |
8069a9e29c8bd3d22b0f1ee48515db04
|
|
| BLAKE2b-256 |
fa3ae77b983488d53cd8a204f38943182c9b215f6780a1eb79734b0f49e0d74c
|
File details
Details for the file hippoformer-0.0.14-py3-none-any.whl.
File metadata
- Download URL: hippoformer-0.0.14-py3-none-any.whl
- Upload date:
- Size: 8.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
00d029a8f8f711f1ed95fe124f7333f9f77406effb7ea46aa37011ee87c4c817
|
|
| MD5 |
0baeee28f357216b2683d3b5e80c0fdc
|
|
| BLAKE2b-256 |
00815fe25182dcfa79af06b7e4bc2132b8cb65a604aab94cba6b5cd6133c1b24
|