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Accelerated deep learning R&D
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Latest capture 2026-07-07 03:14
6 captures since 2026-05-22
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Scanned 2026-07-07 03:14
pyproject.toml
python ecosystem,
0 dependencies
setup.cfg
python ecosystem,
0 dependencies
setup.py
python ecosystem,
0 dependencies
docs/requirements.txt
python ecosystem,
0 dependencies
requirements/requirements-comet.txt
python ecosystem,
0 dependencies
requirements/requirements-cv.txt
python ecosystem,
0 dependencies
requirements/requirements-deepspeed.txt
python ecosystem,
0 dependencies
requirements/requirements-dev.txt
python ecosystem,
0 dependencies
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Reference implementations of MLPerf® training benchmarks
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
No description.
Minimalistic large language model 3D-parallelism training
ncnn is a high-performance neural network inference framework optimized for the mobile platform
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
https://catalyst-team.com
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