Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
GraphCanon updated 2w · GitHub synced 2w
Decision brief
Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.
Good fit when
- Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models.
- Ideal if your project involves time series forecasting, as Auto-PyTorch offers specialized configurations for this purpose with additional dependencies.
Avoid when
- Avoid using it if your AI development focuses on frameworks other than PyTorch.
- Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (846d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- 40 low (40 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Auto-PyTorch PyPIHow it fits your stack(1)
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Evidence and technical details
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Overview
Automated machine learning framework specialized in architectural searches and hyperparameter tuning for deep-learning models using PyTorch.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 4, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 4, 2026
- Languages
- python
Source: github.language · Aug 4, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 4, 2026)
pip install autoPyTorchSource link
Tags
README
PyPI Installation
pip install autoPyTorch
Auto-PyTorch for Time Series Forecasting requires additional dependencies
pip install autoPyTorch[forecasting]
Manual Installation
We recommend using Anaconda for developing as follows:
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## License
This program is free software: you can redistribute it and/or modify
it under the terms of the Apache license 2.0 (please see the LICENSE file).
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
You should have received a copy of the Apache license 2.0
along with this program (see LICENSE file).
For agents
This page has a .md twin and JSON over the API.