137 skills found · Page 1 of 5
geerlingguy / Top500 BenchmarkAutomated Top500 benchmark for clusters or single nodes.
cyberia-to / Go Cyber🟢🟣 cybergraph prototype
jupyterhub / BatchspawnerCustom Spawner for Jupyterhub to start servers in batch scheduled systems
alexellis / Actions BatchTime-sharing supercomputer built on GitHub Actions
l4rz / Building A Poor Mans SupercomputerI've built a 4x V100 box for less than $5,500.
llnl / MaestrowfA tool to easily orchestrate general computational workflows both locally and on supercomputers
TomaszRewak / MAGIMAGI system is a cluster of three AI supercomputers that manage and support all task performed by the NERV organization from their Tokyo-3 headquarter.
0xmoei / Nexus L1Detailed Guide to Run a Prover on Nexus L1 blockchain!
fshiori / MagiThree LLMs debate to make better decisions than any single model. Inspired by EVA's MAGI supercomputer. Critique mode: 88% vs single Claude Sonnet's 76%.
PetraProver / PetraVMA verifiable supercomputer
akiyamalab / MEGADOCKAn ultra-high-performance protein-protein docking for heterogeneous supercomputers
Lumi-supercomputer / LUMI AI GuideThe LUMI AI Guide is designed to assist users in migrating their machine learning applications from smaller-scale computing environments to the LUMI supercomputer.
exalearn / ColmenaLibrary for steering campaigns of simulations on supercomputers
Shamrock-code / ShamrockThe Shamrock Framework, an open-source, multi-GPU hydrodynamics framework for astrophysics. Scales seamlessly from laptops to exascale supercomputers, supporting SPH, AMR, and more.
cyberia-to / Cyberthe 🔵 crystal
theNetworkChuck / Mac Studio ClusterBuild a 2TB Unified Memory AI Supercomputer with Mac Studios - Companion guide to NetworkChuck's YouTube video
OpenPOWERFoundation / A2iThe A2I core was used as the general purpose processor for BlueGene/Q, the successor to BlueGene/L and BlueGene/P supercomputers
clusterlib / ClusterlibTools to manage jobs on supercomputer
ashishpatel26 / Browser Based Models With TensorFlowjsYou may think that machine learning models can only be trained with supercomputers and big data. This first course shows you how you can train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. deeplearning.ai certificate : https://www.coursera.org/account/accomplishments/records/BURZEBYF8K3A
SMART-Lab / SmartdispatchAn easy to use job launcher for supercomputers with PBS compatible job manager.
