The LUMI AI Guide is designed to assist users in migrating their machine learning applications from smaller-scale computing environments to the LUMI supercomputer.

Jupyter notebooks, jobscripts and other files for the "Getting started with AI on LUMI" workshop

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

All Algorithms implemented in Python

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Repository for links to software packages and databases used in deep-learning applications for materials science

The topics discussed in the Machine Learning SIG group.

An unofficial styleguide and best practices summary for PyTorch

A playbook for systematically maximizing the performance of deep learning models.

Contains the material for the Machine Learning on HPC systems course on 16-05-2023

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Learning Algebraic Multigrid Using Graph Neural Networks

🏡 A NodeJS server to scrape Pararius listings and show them in a dashboard 🏘️

Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Generic template to bootstrap your PyTorch project.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Example of how to use Weights & Biases on Slurm

Some custom dataset examples for PyTorch

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

Roadmap to becoming an Artificial Intelligence Expert in 2022

Convolutional LSTM for Precipitation Nowcasting

A LaTeX template for creating beautiful PhD theses, originally created by TU Delft.

XITS - OpenType implementation of STIX fonts with math support

Code for our CVPR 2020 paper "Disentangling Physical Dynamics from Unknown Factors for UnsupervisedVideo Prediction"

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks