Python extension language using accelerators

Geophysical Bayesian Inference in Python. Docs:

Pytest Extension for MPI-Parallel Tests

Up-scale python functions for high-performance computing (HPC)

A federated learning project for classifying pneumonia from chest X-ray images using distributed training across simulated clients. Utilizes MPI for multi-process orchestration and PyTorch for deep learning. Demonstrates privacy-preserving collaborative model training on a real medical imaging dataset.

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems

Parallel Programming Course

Python bindings for MPI

PySM 3: Sky emission simulations for Cosmic Microwave Background experiments

Analysis kit for large-scale structure datasets, the massively parallel way

🌊 Framework for studying fluid dynamics with numerical simulations using Python (publish-only mirror). The main repo is hosted on https://foss.heptapod.net (Gitlab fork supporting Mercurial).

Numba @jit compatible wrappers for MPI C API tested on Linux, macOS and Windows

Cluster Astronomical Python Utilities

High-throughput tomography pipeline

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

Train across all your devices, ezpz 🍋

Best practices & guides on how to write distributed pytorch training code

Perun is a Python package that measures the energy consumption of your applications.