aioway
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
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Download Latest Version (.zip)- pre-commit.yaml
- publish.yaml
- unit-test.yaml
- website.yaml
- architecture.excalidraw
- architecture.svg
- conf.py
- index.md
- index.rst
- .nojekyll
- _coverpage.md
- CNAME
- coverpage.css
- index.html
- Makefile
- README.md
- .gitkeep
- file_example_JPG_2500kB.jpg
- file_example_MP3_5MG.mp3
- file_example_MP4_1920_18MG.mp4
- file_example_PNG_3MB.png
- in_search_of_lost_time.txt
- aten.py
- attributes.py
- disable_ops.py
- grads.py
- hello.py
- missing_values.py
- mnist.py
- print_torch_ops.py
- state_dicts.py
- __init__.py
- fast.py
- items.py
- __init__.py
- dags.py
- decomps.py
- hooks.py
- logging.py
- platforms.py
- profs.py
- renders.py
- signs.py
- types.py
- typing.py
- __init__.py
- _av.py
- _bases.py
- audios.py
- collates.py
- images.py
- texts.py
- videos.py
- __init__.py
- comps.py
- dsets.py
- __init__.py
- exceptions.py
- raising.py
- __init__.py
- contrastive.py
- losses.py
- recon.py
- __init__.py
- aten.py
- binary.py
- fn.py
- getitem.py
- guards.py
- README.md
- __init__.py
- fake.py
- hists.py
- modes.py
- README.md
- toggles.py
- tracking.py
- __init__.py
- _utils.py
- compound.py
- convs.py
- emitters.py
- linear.py
- norms.py
- __init__.py
- _bases.py
- attrs.py
- devices.py
- dtypes.py
- layouts.py
- modules.py
- README.md
- renders.py
- schemas.py
- shapes.py
- utils.py
- __init__.py
- nmf.py
- rl.py
- static.py
- __init__.py
- casts.py
- gym.py
- media.py
- README.md
- tspecs.py
- __init__.py
- _costs.py
- _modules.py
- _sess.py
- _thunks.py
- api.py
- test_dags.py
- test_decomps.py
- test_types.py
- conftest.py
- test_audios.py
- test_collate.py
- test_images.py
- test_media.py
- test_texts.py
- test_videos.py
- test_contrastive.py
- test_losses.py
- test_fate.py
- test_history.py
- test_thunks.py
- test_compound.py
- test_convs.py
- test_linear.py
- test_norms.py
- test_devices.py
- test_dtypes.py
- test_layouts.py
- test_modules.py
- test_shapes.py
- test_nmf.py
- test_gym.py
- test_types.py
- __init__.py
- conftest.py
- mock.py
- test_api.py
- test_ci.py
- test_costs.py
- test_mock.py
- test_modules.py
- test_notebooks.py
- test_sess.py
- .gitattributes
- .gitignore
- CITATIONS.cff
- CODE_OF_CONDUCT.md
- CODEOWNERS
- CONTRIBUTING.md
- LICENSE.md
- noxfile.py
- pdm.lock
- pyproject.toml
- README.md
π Installation Guide
1. Get the code
git clone https://github.com/rentruewang/aioway
Downloads the entire project code from GitHub to your computer.
cd aioway
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install .
Installs the package published on PyPI directly β no need to clone the source.
python <μ€νν νμΌλͺ
>.py # READMEμμ μ νν μ€ν νμΌλͺ
μ νμΈνμΈμ
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
3. Make
MediumPrerequisites
- Git Needed to download the project code from GitHub.
- Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
cd docs
This project's files live in a subfolder, so move into it first.
make
Compiles the code based on the generated build configuration to produce an executable.
If it finishes without errors, it worked. Try running the generated executable directly.
// repository documentation
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