GPU-accelerated continuous-time survival analysis for PyTorch
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
torchcts-0.0.3.tar.gz
(2.5 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 torchcts-0.0.3.tar.gz.
File metadata
- Download URL: torchcts-0.0.3.tar.gz
- Upload date:
- Size: 2.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a3a72067ecf20ef51d2f56bb14d9c283c226fdf1f36b2edc113c07d2005fb3d2
|
|
| MD5 |
d694e16face3a072e7b4baa5abf8f303
|
|
| BLAKE2b-256 |
2cf46f032a88bea971dc02e28cc80e813e33c352aeb286df3c1acbe4ad684c2c
|
File details
Details for the file torchcts-0.0.3-py3-none-any.whl.
File metadata
- Download URL: torchcts-0.0.3-py3-none-any.whl
- Upload date:
- Size: 2.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d0d4b81260ac51e1eac317c7b62ed95a8c146337c0d7431214600e47ad91ff04
|
|
| MD5 |
d349c1ec350b02a58e819e62d375d7cb
|
|
| BLAKE2b-256 |
c2beb7306d063ba46c30bc17d6a5819e7422fca2f24091ec71198252bcfbb4fe
|