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NexuML 0.1.0 - Experimental Preview

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@Jearde Jearde released this 03 Sep 21:49
· 9 commits to main since this release
v0.1.0
5de87c9

NexuML 0.1.0 is the first experimental public snapshot of the pipeline-based PyTorch framework.

Highlights

  • Compose data, model, training, and evaluation behavior as declarative scenarios.
  • Connect reusable stages through named TensorDict inputs and outputs.
  • Discover layers through the component registry and compile them into type-checked pipelines.
  • Train through PyTorch Lightning with mixed precision, gradient accumulation, and callbacks.
  • Export portable model directories containing weights, configuration, and metadata.
  • Resolve, inspect, train, tune, export, and smoke-test scenarios through the nexuml CLI.
  • Generate Mermaid diagrams to inspect compiled pipeline architecture.

Install

This historical preview is installed directly from its Git tag:

uv pip install "nexuml[all] @ git+https://github.com/NexuFed/NexuML.git@v0.1.0"
uv pip install "nexuml-library @ git+https://github.com/NexuFed/NexuML.git@v0.1.0#subdirectory=library"

Release status

This release established the original API and documentation baseline. It is retained for reproducibility; new projects should use the latest release because configuration and packaging changed substantially in the 0.2 line.

Source: https://github.com/NexuFed/NexuML/tree/v0.1.0

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