AIST Toolkit for Accelerating Machine Learning Research
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
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.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aiaccel-2026.3.0.tar.gz
(551.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file aiaccel-2026.3.0.tar.gz.
File metadata
- Download URL: aiaccel-2026.3.0.tar.gz
- Upload date:
- Size: 551.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
289eba49a89b6a2bb0cc4eeb30fc9946e6de9f5d5d5403fa6795da26f045b4be
|
|
| MD5 |
86625035a1709b1f3fc247e6f644690a
|
|
| BLAKE2b-256 |
c12e781bddb59e037af3691ed548fc9683db74765e7272738b89753a343a67c4
|
Provenance
The following attestation bundles were made for aiaccel-2026.3.0.tar.gz:
Publisher:
pypi-publish.yaml on aistairc/aiaccel
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
aiaccel-2026.3.0.tar.gz -
Subject digest:
289eba49a89b6a2bb0cc4eeb30fc9946e6de9f5d5d5403fa6795da26f045b4be - Sigstore transparency entry: 1005625679
- Sigstore integration time:
-
Permalink:
aistairc/aiaccel@920898963f0245df58bd6ff12d4904539e8a10d0 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/aistairc
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
pypi-publish.yaml@920898963f0245df58bd6ff12d4904539e8a10d0 -
Trigger Event:
schedule
-
Statement type:
File details
Details for the file aiaccel-2026.3.0-py3-none-any.whl.
File metadata
- Download URL: aiaccel-2026.3.0-py3-none-any.whl
- Upload date:
- Size: 61.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
44c377f5a21e47ed96bd84dd2f851c186aea36461590533cb5e3e2d7d62c5ecc
|
|
| MD5 |
a1bd1af2ea123aa159f1a7230943e1fa
|
|
| BLAKE2b-256 |
6aa4c925651a34907773e5c1a5d8649d7c042601a55976e4428afc9f7c51f866
|
Provenance
The following attestation bundles were made for aiaccel-2026.3.0-py3-none-any.whl:
Publisher:
pypi-publish.yaml on aistairc/aiaccel
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
aiaccel-2026.3.0-py3-none-any.whl -
Subject digest:
44c377f5a21e47ed96bd84dd2f851c186aea36461590533cb5e3e2d7d62c5ecc - Sigstore transparency entry: 1005625706
- Sigstore integration time:
-
Permalink:
aistairc/aiaccel@920898963f0245df58bd6ff12d4904539e8a10d0 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/aistairc
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
pypi-publish.yaml@920898963f0245df58bd6ff12d4904539e8a10d0 -
Trigger Event:
schedule
-
Statement type:
