by saforem2 · Agent Tool · ★ 40
🍋 ezpz Write once, run anywhere. makes distributed PyTorch launches portable across any supported hardware {NVIDIA, AMD, Intel, MPS, CPU} with zero code changes. Features Multi-hardware — automatic device detection and backend selection (CUDA/NCCL, XPU/CCL, MPS, CPU/Gloo) Zero code changes — same script runs on a laptop, a single GPU, or a thousand-node supercomputer HPC integration — native PBS and SLURM support with automatic hostfile discovery and rank assignment Metric tracking — built-in class for recording, plotting, and saving training metrics CLI tools — , , for launching jobs,...
| Stars | 40 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61.8894069602466/100 |
| Open Issues | 5 |
| Last Updated | 2026-08-28 |
| Created | 2023-09-12 |
| Platforms | python |
| Est. Tokens | ~14k |
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ezpz is Write once, run anywhere; ezpz 🍋. It is categorized as a Agent Tool with 40 GitHub stars.
ezpz is primarily written in Python. It covers topics such as ai-tools, deepspeed, distributed-training.
You can find installation instructions and usage details in the ezpz GitHub repository at github.com/saforem2/ezpz. The project has 40 stars and 10 forks, indicating an active community.
ezpz is released under the MIT license, making it free to use and modify according to the license terms.