Skip to main content

SGLD as PyTorch Optimizer

Project description

SGLD in PyTorch

PyPI version

This package implements SGLD and cSGLD as a PyTorch Optimizer.

Installation

Install from pip as:

pip install torch-sgld

To install the latest directly from source, run

pip install git+https://github.com/activatedgeek/torch-sgld.git

Usage

License

Apache 2.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

torch-sgld-0.1.0b1.tar.gz (6.9 kB view details)

Uploaded Source

Built Distribution

torch_sgld-0.1.0b1-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file torch-sgld-0.1.0b1.tar.gz.

File metadata

  • Download URL: torch-sgld-0.1.0b1.tar.gz
  • Upload date:
  • Size: 6.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for torch-sgld-0.1.0b1.tar.gz
Algorithm Hash digest
SHA256 8aa983388bfd4c78c4aa8880ae7f41a380cc20e6c1bb9f8cad2757801c4d1c9f
MD5 75b7e901804d7001a82353c5409c8685
BLAKE2b-256 4f89a5ca599ee4445fb3ec60875136a38d56a1f77c875d1d7d02503bf5790710

See more details on using hashes here.

File details

Details for the file torch_sgld-0.1.0b1-py3-none-any.whl.

File metadata

File hashes

Hashes for torch_sgld-0.1.0b1-py3-none-any.whl
Algorithm Hash digest
SHA256 1bf528d4e402ab9199011e6ed8967d37a42832bfe1d721aef5c4d4be1c275251
MD5 53633dbb67d173e282c40b8d0511c9fb
BLAKE2b-256 007f5eb00cae20854b08c1298598ea2bfd2a2c81828d5b0e7bf625e772e995e2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page