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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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Latest capture 2026-07-15 03:15
6 captures since 2026-05-25
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Scanned 2026-07-15 03:15
setup.cfg
python ecosystem,
0 dependencies
setup.py
python ecosystem,
0 dependencies
docs/Gemfile
ruby ecosystem,
10 dependencies
requirements/requirements-1bit-mpi.txt
python ecosystem,
1 dependency
requirements/requirements-autotuning-ml.txt
python ecosystem,
3 dependencies
requirements/requirements-autotuning.txt
python ecosystem,
1 dependency
requirements/requirements-cpu.txt
python ecosystem,
0 dependencies
requirements/requirements-deepcompile.txt
python ecosystem,
1 dependency
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Ongoing research training transformer models at scale
Making large AI models cheaper, faster and more accessible
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Minimalistic large language model 3D-parallelism training
A Next-Generation Training Engine Built for Ultra-Large MoE Models
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
