Deep learning models for drug discovery, quantum chemistry, and the life sciences. The ascend + torch version.
Project description
The author of this package has not provided a project description
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
deepchem_ascend-0.0.1.tar.gz
(1.1 MB
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 deepchem_ascend-0.0.1.tar.gz.
File metadata
- Download URL: deepchem_ascend-0.0.1.tar.gz
- Upload date:
- Size: 1.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
aa14d408fd7bc57ec9d92c7702a0d6f37647714c7db0a3c79009f6060a8d45f0
|
|
| MD5 |
ecd8b563627bc775ed943634ac6b5641
|
|
| BLAKE2b-256 |
7a9b617f5c0ff6ba984d99cfa39738d06fd4293bf9a58361477719d945559bb7
|
File details
Details for the file deepchem_ascend-0.0.1-py3-none-any.whl.
File metadata
- Download URL: deepchem_ascend-0.0.1-py3-none-any.whl
- Upload date:
- Size: 1.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
38bece6e255b492eada47b31758d5141456fbbb4c402414f738a5b5fbf0a913d
|
|
| MD5 |
59a2f0de1b0208ae63583f8ab40da4e1
|
|
| BLAKE2b-256 |
1bb4426251b2e5baabdcd0bb96d97e8a85952ab62f4966ef96f18f6d37e356e3
|