torchde

PyTorch wrapper for Deep Density Estimation Models

https://github.com/vahidzee/torchde

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
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  • Scientific vocabulary similarity
    Low similarity (3.7%) to scientific vocabulary

Keywords

density-estimation energy-based-model masked-autoencoder pytorch sgld
Last synced: 6 months ago · JSON representation ·

Repository

PyTorch wrapper for Deep Density Estimation Models

Basic Info
  • Host: GitHub
  • Owner: vahidzee
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 181 KB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 1
Topics
density-estimation energy-based-model masked-autoencoder pytorch sgld
Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Code of conduct Citation

README.md

Torch Density Estimation

Generic implementation of Deep Neural Networks for Density Estimation in PyTorch and PytorchLightning.

Installation

In order to network implementations install torchde via pip: shell pip install torchde In case you wish to employ the training procedures and datamodule implementations (on top of pytorch-lightning), you would need to install the additional tools as well:

shell pip install "torchde[tools]"

Owner

  • Name: Vahid Zehtab
  • Login: vahidzee
  • Kind: user
  • Location: Toronto, ON
  • Company: University of Toronto

Applied & Theoretical Deep Learning Researcher MSc. CS @ UofT | BSc. CE @ Sharif University of Technology

Citation (CITATION.cff)

cff-version: 1.2.0
title: '"torchde": PyTorch Density Estimation'
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Vahid
    family-names: Zehtab
    email: vdzehtab@gmail.com
repository-code: "https://github.com/vahidzee/torchde/"
abstract: >-
  A lightweight PyTorch wrapper for deep density
  estimation models.
keywords:
  - Machine Learning
  - Deep Learning
  - Density Estimation
  - Anomaly Detection
license: MIT
date-released: "2022-07-01"

GitHub Events

Total
  • Issues event: 1
  • Fork event: 1
Last Year
  • Issues event: 1
  • Fork event: 1

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 65
  • Total Committers: 2
  • Avg Commits per committer: 32.5
  • Development Distribution Score (DDS): 0.031
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
vahidzee v****e@g****m 63
Vahid Zehtab 3****e 2

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: 1 minute
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: 1 minute
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • dalphil (1)
Pull Request Authors
Top Labels
Issue Labels
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 165 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 11
  • Total maintainers: 1
pypi.org: torchde

'torchde' offers a lightweight PyTorch toolbox for Deep Density Estimation Models

  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 165 Last month
Rankings
Dependent packages count: 6.6%
Dependent repos count: 30.6%
Average: 31.1%
Downloads: 56.1%
Maintainers (1)
Last synced: 6 months ago

Dependencies

requirements/base.txt pypi
  • torch >=1.7.
requirements/tools.txt pypi
  • jsonargparse *
  • pytorch-lightning *
  • torchvision *