pytorch-gmm

Usage

import torch
from torch_gmm import GMM

x = torch.randn(50000, 16)
gmm, llh = GMM.init_and_train(x, 64, verbose=True)

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for pytorch-gmm 0.1.1
File	Size	Uploaded
pytorch_gmm-0.1.1.tar.gz	4.9 kB	Jun 18, 2025	Details

Table of built distributions (wheels) for pytorch-gmm 0.1.1
File	Interpreter	ABI	Platform	Reset
pytorch_gmm-0.1.1-py3-none-any.whl 5.3 kB Jun 18, 2025	Python 3	none	any	Details

Total release size: 10.2 kB

Download URL	pytorch_gmm-0.1.1.tar.gz
Size	4.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`3b86b389387920cc3ebd9cf8b9a1c456ea18998c03371a9e4d4b8961760ce8f5`
BLAKE2b-256 checksum How to use checksums	`7d13aedfc826d717f7fa5a012f519172069eeafa66aea43be894c41099bfa5b0`
Upload date	Jun 18, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.7.5`

Download URL	pytorch_gmm-0.1.1-py3-none-any.whl
Size	5.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`63350f4c788a2b2e561b383f321cbfe50a412ae0f6b2d21421c1b3a180a72484`
BLAKE2b-256 checksum How to use checksums	`f46993b8ab45a270a1cb393ee03c8a010f7d7821c8531160b019715c74cc2014`
Upload date	Jun 18, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.7.5`