Coflect: human-in-the-loop training framework (Torch-first, multi-backend roadmap).
Project description
Coflect
Coflect is a human-in-the-loop deep learning framework for live training control with non-blocking explainability.
Torch is the primary production path. TensorFlow/Keras and JAX are available as optional extras.
Install
pip install coflect
Optional extras:
pip install "coflect[tensorflow]"
pip install "coflect[jax]"
Python requirement: >=3.10.
Quickstart
coflect-hitl-run \
--backend torch \
--dataset cifar10_catsdogs \
--data_root ./data \
--download_data \
--steps 1000 \
--xai_every 100 \
--forecast_every 20
Open http://localhost:8000.
UI-only server command:
coflect-hitl-ui --host 127.0.0.1 --port 8000
Project links
- Source code: github.com/Coflect/Coflect
- Documentation and examples: github.com/Coflect/Coflect/tree/main/examples
- Issue tracker: github.com/Coflect/Coflect/issues
- Releases: github.com/Coflect/Coflect/releases
License: Apache-2.0
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