PyTorch Causal Latent Programming for Multi-Label Learning
Project description
PCLP - PyTorch Causal Latent Programming
A novel framework combining causal modeling and generative networks for multi-label learning.
Features
- Bidirectional Generative Model (BGM)
- Structural Causal Models (SCM)
- Semi-supervised learning support
- Multi-GPU distributed training
Installation
pip install pclp
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
pclp-0.1.0.tar.gz
(19.2 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
pclp-0.1.0-py3-none-any.whl
(20.5 kB
view details)
File details
Details for the file pclp-0.1.0.tar.gz.
File metadata
- Download URL: pclp-0.1.0.tar.gz
- Upload date:
- Size: 19.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3758bd764289078cf9ea43da996159b20448156eb403716eea616ceaedaaf509
|
|
| MD5 |
38f1149ef681be7ee1f14aafe554a6e5
|
|
| BLAKE2b-256 |
203394e28bafffe9cb1a441b94f367c9a44f9bba34450b736f02b3893800a1db
|
File details
Details for the file pclp-0.1.0-py3-none-any.whl.
File metadata
- Download URL: pclp-0.1.0-py3-none-any.whl
- Upload date:
- Size: 20.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bc7c5be76826029832f0406df14d63555ad6a75b3662dc7dbeaf2bdca10fc16c
|
|
| MD5 |
1c5c0eaf59de901bca9c7a929f2868b9
|
|
| BLAKE2b-256 |
dd503eaad06a2b5f1eee9140c349761d1cf60af3e75cc4cbe3479dd3a6caa74e
|
