Lumi-supercomputer / LUMI-AI-GuideLinks
The LUMI AI Guide is designed to assist users in migrating their machine learning applications from smaller-scale computing environments to the LUMI supercomputer.
☆53Updated 2 months ago
Alternatives and similar repositories for LUMI-AI-Guide
Users that are interested in LUMI-AI-Guide are comparing it to the libraries listed below
Sorting:
- Jupyter notebooks, jobscripts and other files for the "Getting started with AI on LUMI" workshop☆39Updated 3 months ago
- TUI for the Slurm Workload Manager☆202Updated this week
- A simple Python wrapper for Slurm with flexibility in mind.☆152Updated 3 months ago
- ☆125Updated 8 months ago
- Tool to wrap installations into a container designed for use on HPC systems☆35Updated 3 weeks ago
- SciML Benchmarking Suite for AI for Science☆42Updated last year
- Transformer eXplainability and eXploration☆19Updated 10 months ago
- ☆59Updated 2 years ago
- ☆62Updated last year
- Running Jax in PyTorch Lightning☆113Updated 8 months ago
- Distance-based Analysis of DAta-manifolds in python☆132Updated last month
- Deep Insight And Neural Network Analysis☆52Updated 6 months ago
- SDLG is an efficient method to accurately estimate aleatoric semantic uncertainty in LLMs☆27Updated last year
- ☆33Updated last year
- Brief notes on how to run and access a jupyter notebook on a login node and a compute node using the SLURM cluster scheduler☆58Updated 3 years ago
- ☆349Updated 5 months ago
- Guidelines on using Weights and Biases logging for deep learning applications on NERSC machines☆13Updated 2 years ago
- Install Conda and friends on Google Colab, easily☆356Updated 2 months ago
- Provides differentiable versions of common HEP operations and objectives.☆25Updated last year
- Official implementation of "GPT or BERT: why not both?"☆57Updated last month
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- A dummy's guide to setting up (and using) HPC clusters on Ubuntu 22.04LTS using Slurm and Munge. Created by the Quant Club @ UIowa.☆342Updated last year
- Code repository of the paper "Variational Stochastic Gradient Descent for Deep Neural Networks" published at☆41Updated 3 months ago
- Create Numpy .npy files by appending on the growth axis☆64Updated 2 months ago
- How to document your research software☆31Updated 2 weeks ago
- Train across all your devices, ezpz 🍋☆23Updated this week
- SC23 Deep Learning at Scale Tutorial Material☆47Updated 11 months ago
- AI Training Series Material☆37Updated 11 months ago
- Training material on writing machine learning code with PyTorch by ICCS☆33Updated last month
- Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python☆223Updated this week