Lumi-supercomputer / Getting_Started_with_AI_workshopLinks
Jupyter notebooks, jobscripts and other files for the "Getting started with AI on LUMI" workshop
☆43Updated 2 months ago
Alternatives and similar repositories for Getting_Started_with_AI_workshop
Users that are interested in Getting_Started_with_AI_workshop are comparing it to the libraries listed below
Sorting:
- ☆236Updated 3 weeks ago
- The LUMI AI Guide is designed to assist users in migrating their machine learning applications from smaller-scale computing environments …☆60Updated 2 weeks ago
- SciML Benchmarking Suite for AI for Science☆42Updated last year
- This is a repository with examples to run inference endpoints on various ALCF clusters☆26Updated 3 weeks ago
- ☆39Updated last year
- Distributed PyTorch implementation of multi-headed graph convolutional neural networks☆93Updated last week
- Library for steering campaigns of simulations on supercomputers☆59Updated 6 months ago
- The ALCF hosts a regular simulation, data, and learning workshop to help users scale their applications. This repository contains the exa…☆73Updated 2 months ago
- High throughput workflows and automation for HPC☆83Updated 5 months ago
- SC23 Deep Learning at Scale Tutorial Material☆48Updated last year
- List the AI for Science papers accepted by top conferences☆148Updated 2 months ago
- single-GPU to multi-GPU training of PyTorch apps at NERSC☆22Updated last year
- Guidelines on using Weights and Biases logging for deep learning applications on NERSC machines☆13Updated 2 years ago
- Collection of small examples for running on ALCF resources☆19Updated 4 months ago
- ☆37Updated last month
- AI Training Series Material☆38Updated 2 months ago
- Brief notes on how to run and access a jupyter notebook on a login node and a compute node using the SLURM cluster scheduler☆59Updated 4 years ago
- ☆47Updated 4 months ago
- Contains build scripts and instructions for software on a variety of UK HPC resources☆88Updated 2 months ago
- Linux productivity tools and practices for researchers☆88Updated 3 weeks ago
- Tutorial for using Singularity containers☆118Updated 5 years ago
- Train across all your devices, ezpz 🍋☆24Updated last week
- ☆43Updated 8 months ago
- Python Distributed Non Negative Tensor Networks☆14Updated 4 years ago
- A simple Python wrapper for Slurm with flexibility in mind.☆160Updated 6 months ago
- Uncertainty Quantification, Decision Making under Uncertainty, Stochastic Modeling, HPC Optimization☆27Updated last month
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆85Updated 6 months ago
- Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used…☆182Updated 8 months ago
- PyTorch examples for NERSC systems☆34Updated last year
- Invariant representation learning from imaging and spectral data☆53Updated last year