AIST Toolkit for Accelerating Machine Learning Research
- Research-Oriented: designed to accelerate your research cycles written in Python
- HPC Optimized: intended to use in HPC clusters, including AI Bridging Cloud Infrastructure (ABCI)
- Highly Modular: designed to let you pick up any part of aiaccel for your research project
Key Features
- PyTorch/Lightning Toolkit: training toolkit for HPC clusters.
- Hyperparameter Optimization (HPO): ready-to-use HPO algorithms/tools.
- OmegaConf Utilities: OmegaConf-based config utilities.
Installation
pip install aiaccel
Acknowledgement
- Part of this software was developed in a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO).
- Part of this software was developed by using ABCI 3.0 provided by AIST and AIST Solutions.
- Part of this software was developed by using the TSUBAME4.0 supercomputer at Institute of Science Tokyo.
1 maintainer
Metadata
1 maintainer
Release files for aiaccel 2026.10.2
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aiaccel-2026.10.2.tar.gz | 670.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aiaccel-2026.10.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 759.8 kB
Release files / aiaccel-2026.10.2.tar.gz
| Download URL | aiaccel-2026.10.2.tar.gz |
|---|---|
| Size | 670.1 kB |
| Tags | Source |
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| Download URL | aiaccel-2026.10.2-py3-none-any.whl |
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| Size | 89.7 kB |
| Tags | Python 3 |
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