Making large AI models cheaper, faster and more accessible
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Updated
Oct 20, 2026 - Python
Making large AI models cheaper, faster and more accessible
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
DSL and compiler framework for automated finite-differences and stencil computation
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, Gaudi NPU, Google TPU, GraphCore IPU and other NPUs.
Differentiable Fluid Dynamics Package
An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
Lightweight fast function pipeline (DAG) creation in pure Python for scientific (HPC) workflows 🕸️🧪
Parallel programming with Python
OpenQuake Engine: a software for Seismic Hazard and Risk Analysis
A collection of easyconfig files that describe which software to build using which build options with EasyBuild.
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
quacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.
Parallel Programming with Python and Charm++
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