mert-kurttutan / torchview
torchview: visualize pytorch models
Why this job: topics: neural-network, keras, deep-learning, machine-learning, pytorch
What it does
- Almost all the models, RNN, Sequentials, Skip Connection, Hugging Face Models
- Support for meta tensors -> no memory consumption (for very Large models) (pytorch version $\geq$ 1.13) .
- Shows operations between tensors (in addition to module calls)
- Rolling/Unrolling feature. Recursively used modules can be rolled visually, see below.
- Diverse set of inputs/output types, e.g. nested data structure (dict, list, etc), huggingface tokenizer outputs
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 1,091
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.2.6
- Released 3 years ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 49% closed
- 29 still open
- Pull requests
- 62 merged
- 2 waiting
- Releases
- 9
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- deep-learning
- keras
- machine-learning
- neural-network
- pytorch
- visualization
- python
- torchviz
Project record
- JobAI libraries and models
- StatusListed
- Commits148
- Forks50
- Watching8
- Stars in 28 days+8
- CreatedNov 8, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026