Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Skorch is an open-source machine learning library that provides a scikit-learn compatible interface for training neural networks using PyTorch. It combines the flexibility of PyTorch with the simplicity and usability of the scikit-learn API, making deep learning easier to integrate into traditional machine learning workflows.
Features of Skorch:
Show the rest of the publisher’s description (14 more lines)
- Provides a scikit-learn-style interface (fit, predict, score) for PyTorch models.
- Integrates seamlessly with scikit-learn tools such as GridSearchCV, Pipeline, and cross-validation.
- Supports custom PyTorch nn.Module models with minimal configuration.
- Includes callbacks, metrics, checkpointing, and learning rate schedulers.
- Enables rapid experimentation and prototyping of deep learning models.
- Open-source and actively maintained by the machine learning community.
To install and check the installed version of Skorch using Docker on Ubuntu 24.04:
$ sudo su
$ cd /opt/skorch
$ docker start skorch
$ docker exec -it skorch /bin/bash
# Check Skorch version
python -c "import skorch; print(skorch.__version__)"
Disclaimer: Skorch is released under the BSD 3-Clause License and is maintained by the open-source community. It is provided "as is" without warranty of any kind. Users are responsible for proper configuration, dependency management, and ensuring compatibility with their machine learning workflows. Refer to the official documentation for detailed usage and updates.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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