petastorm
SysML-v2-Release
| petastorm | SysML-v2-Release | |
|---|---|---|
| 2 | 2 | |
| 1,752 | 360 | |
| 0.7% | 3.6% | |
| 3.7 | 6.1 | |
| 5 months ago | 23 days ago | |
| Python | Batchfile | |
| Apache License 2.0 | GNU Lesser General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
petastorm
SysML-v2-Release
-
Requirements
I like the personas and journey features.
In formal systems engineering, a common mistake (including for the 737MAX[1]) is failing to model system users, and treating system users as completely external and separate to what is being designed.
I'd love to play with an Inform 7[2] like language for capturing "operational scenarios"[3] (systems engineering jargon for roughly a combination of "personas" and "journeys"). In many fields of systems engineering (e.g. aviation), vocabulary has to be tightly controlled and syntactically unambiguous language used. As is the case with Userdoc, an LLM could propose operational scenarios, but they'd need to be converted to a syntactically unambiguous language, and be vetted by humans. Of current approaches to formally capturing operational scenarios, and I don't think any of these do a particularly good job of it, I prefer Object Process Methodology[4] (text representation only) over SysMLv2[5] (again text representation only, and this is R&D/draft). I'd only mention SysMLv1 or UML use cases as something I'd forever avoid.
[1] https://www.incose.org/docs/default-source/enchantment/21031...
[2] https://en.wikipedia.org/wiki/Inform#Inform_7_programming_la...
[3] https://sebokwiki.org/wiki/Operational_Scenario_(glossary)
[4] https://en.wikipedia.org/wiki/Object_Process_Methodology
[5] https://github.com/Systems-Modeling/SysML-v2-Release/blob/ma...
- How do you draw the functions?
What are some alternatives?
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
zen - Library for model driven systems
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
clograms - Clojure[Script] source code diagrams
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
jina - ☁️ Build multimodal AI applications with cloud-native stack
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
data-toolset - Upgrade from avro-tools and parquet-tools jars to a more user-friendly Python package.