Machine Learning Engineering Open Book
dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or on-prem.
A WDL, CWL and Python API supporting easy-to-use workflow engine. It is scalable, efficient and cross-platform (Linux/macOS).
Best practices & guides on how to write distributed pytorch training code
Lightweight fast function pipeline (DAG) creation in pure Python for scientific (HPC) workflows 🕸️🧪
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
Simplify HPC and Batch workloads on Azure
SEML: Slurm Experiment Management Library
A toolset for black-box hyperparameter optimisation.
Slurm-Mail is a drop in replacement for Slurm's e-mails to give users much more information about their jobs compared to the standard Slurm e-mails.
A Slurm dashboard for the terminal.
A toolkit featured artificial intelligence × ab initio for computational chemistry research.
🦠🧬🧑💻📇 Microbial genomes-to-report pipeline
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