Building attention mechanisms and Transformer models from scratch. Alias ATF. https://github.com/veb-101/Attention-and-Transformers
Project description
Attention mechanisms and Transformers
-
This goal of this repository is to host basic architecture and model traning code associated with the different attention mechanisms and transformer architecture.
-
At the moment, I more interested in learning and recreating these new architectures from scratch than full-fledged training. For now, I'll just be training these models on small datasets.
Attention Mechanisms
|
# No. |
Mechanism |
Paper |
|---|---|---|
| 1 | ||
| 2 |
Transformer Models
|
# No. |
Models |
Paper |
|---|---|---|
| 1 | ||
| 2 |
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer |
|
| 3 | MobileViT-V2 (under development) |
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
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 Attention_and_Transformers-0.0.1.tar.gz.
File metadata
- Download URL: Attention_and_Transformers-0.0.1.tar.gz
- Upload date:
- Size: 7.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
34559a79d900db5e40f3056e34a1d733d95b249bbf4f2c3d9df8c4db3e259a56
|
|
| MD5 |
c8511ddbbafc8f9bd4819debf82c1bcf
|
|
| BLAKE2b-256 |
5f11abb921146cdd95edd31e8b51a35354a246b9f3e141ea614c8c71ffdc2a7d
|
File details
Details for the file Attention_and_Transformers-0.0.1-py3-none-any.whl.
File metadata
- Download URL: Attention_and_Transformers-0.0.1-py3-none-any.whl
- Upload date:
- Size: 8.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3035de547414eb7fc292a4e4e3dcb4bc4b57aa8bb544a1cd4e625eb647f23069
|
|
| MD5 |
c3613d59a4186f4f13fa17dfbb08999c
|
|
| BLAKE2b-256 |
8ff08046683eb8b6738c8fafa41c8f6ab317d2331000fa5303fd713134b87ee2
|