A general DNABERT implementation using the deepbio-toolkit.
Project description
DNABERT
A complete DNABERT implementation in Pytorch using th deepbio-toolkit library.
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
dbtk_dnabert-1.2.0.tar.gz
(5.9 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 dbtk_dnabert-1.2.0.tar.gz.
File metadata
- Download URL: dbtk_dnabert-1.2.0.tar.gz
- Upload date:
- Size: 5.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
13607d5b250b83f3361492d71f24efea25b96f037f9526ea4c44a29f1e62bfe1
|
|
| MD5 |
3855c672bf728e1751f14bd73fa715e9
|
|
| BLAKE2b-256 |
12a172c1103815fe1b20a21b5f5d9001d8c1b8ba0bd4c2312fd5867af97c0d4a
|
File details
Details for the file dbtk_dnabert-1.2.0-py3-none-any.whl.
File metadata
- Download URL: dbtk_dnabert-1.2.0-py3-none-any.whl
- Upload date:
- Size: 7.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b5cce30e5fcd88d423bb944394f03394db0b2d154c89db545d90355077be5384
|
|
| MD5 |
6835daaae4dddf825f22868edf3520ab
|
|
| BLAKE2b-256 |
fe45ec089bd83f7cfdc1032c23b361c32128a3f29a5b5a40ccc0cbb4db6873b4
|
