Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
MegEngine is an open-source deep learning framework designed for developing, training, optimizing, and deploying artificial intelligence and machine learning models. It provides efficient tensor computation, neural network development capabilities, and high-performance execution for a wide range of deep learning workloads. MegEngine is suitable for researchers, data scientists, and developers working on computer vision, image processing, deep learning, and other AI applications.
Features of MegEngine:
Show the rest of the publisher’s description (17 more lines)
- Open-source deep learning framework for developing and deploying machine learning and artificial intelligence models.
- Supports neural network development, tensor operations, model training, and inference workloads.
- Provides efficient and high-performance computing capabilities for deep learning applications.
- Suitable for computer vision, image processing, deep learning, and other AI workloads.
- Helps researchers and developers build, train, optimize, and deploy deep learning models.
- Provides a flexible development environment for experimenting with and developing machine learning models.
- Supports AI and deep learning workflows across research, experimentation, and production-oriented applications.
- Suitable for data scientists, machine learning engineers, AI researchers, and software developers.
- Can be integrated into machine learning and deep learning development workflows for model development, training, and inference.
Usage Instructions :
$ sudo su
Activate the MegEngine virtual environment:
$ conda activate megengine131
Verify the MegEngine installation:
$ python -c "import megengine; print('MegEngine:', megengine.__version__)"
$ pip show megengine
Disclaimer: MegEngine and related software are provided subject to their applicable license and terms of use. The software is offered "as is," without any warranty, express or implied. MegEngine is intended as a machine learning and deep learning development framework and is not a substitute for professional advice, validation, or decision-making. Users are responsible for ensuring the ethical, legal, secure, and appropriate use of MegEngine and any models, datasets, or applications developed with it.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
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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