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
75 Commits 2 Branches 1 Tag 85 MiB
Python 100%
Go to file
Liyu Xiao 3a32a83c34
Some checks failed
RIA Hub Workflow Demo / ria-demo (push) Failing after 4m58s
Details
added profiling for the onnx model
2025-05-26 10:28:11 -04:00
.riahub/workflows added profiling for the onnx model 2025-05-26 10:28:11 -04:00
checkpoint_files formatted all files 2025-05-22 14:12:36 -04:00
conf added in final changes to now do 5 epochs, and added in conversion to ORT at the end of workflow 2025-05-26 09:44:53 -04:00
data added in type casting 2025-05-26 10:06:18 -04:00
helpers added in final changes to now do 5 epochs, and added in conversion to ORT at the end of workflow 2025-05-26 09:44:53 -04:00
onnx_files completed converting the pytorch model -> ONNX 2025-05-22 14:12:10 -04:00
onnx_scripts added profiling for the onnx model 2025-05-26 10:28:11 -04:00
wheel reversed the changes, for now will install from the wheel folder 2025-05-16 14:17:08 -04:00
.gitattributes added LFS tracking to the .whl files 2025-05-16 13:23:13 -04:00
.gitignore added profiling for the onnx model 2025-05-26 10:28:11 -04:00
README.md Add ReadME 2025-05-14 15:36:31 -04:00
requirements.txt added profiling for the onnx model 2025-05-26 10:28:11 -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/.