qoherent/modrec-workflow
14
0
Fork 1
Code Issues 1 Pull Requests Workflows Packages Projects Releases 1 Wiki Activity
An example machine learning workflow for signal modulation classification, built using RIA Hub Workflows
19 Commits 2 Branches 1 Tag 85 MiB
Python 100%
Go to file
Liyu Xiao 66d4c47cc4
Some checks failed
RIA Hub Workflow Demo / ria-demo (push) Failing after 14s
Details
updated workflow file
2025-05-16 11:27:23 -04:00
.riahub/workflows updated workflow file 2025-05-16 11:27:23 -04:00
data Added the split datagen script 2025-05-16 11:26:33 -04:00
recordings Track .npy and recordings/ in Git LFS 2025-05-16 11:24:52 -04:00
scripts Added the split datagen script 2025-05-16 11:26:33 -04:00
.gitattributes Track .npy and recordings/ in Git LFS 2025-05-16 11:24:52 -04:00
.gitignore Ignore virtual environment folder 2025-05-15 09:44:20 -04:00
README.md Add ReadME 2025-05-14 15:36:31 -04:00

README.md

RIA Hub Technical Demo

This repository demonstrates a full ML pipeline via Gitea Actions:

  • Recordings
    A collection of raw .npy radio recordings stored via Git LFS.

  • Workflows
    A CI pipeline that automatically:

    1. Builds a labeled dataset from raw recordings
    2. Trains a model on that dataset
    3. Optimizes the model and packages an inference application

  • Scripts

    • scripts/build_dataset.sh
      Reads through recordings/, applies preprocessing, and outputs training .npz or .csv files into data/.
    • scripts/train_model.sh
      Consumes data/, trains a PyTorch model, and writes checkpoints to checkpoints/.
    • scripts/build_app.sh
      Takes the best checkpoint and builds a small inference CLI or server in dist/.