NERSC / nersc-dl-wandb
Guidelines on using Weights and Biases logging for deep learning applications on NERSC machines
☆12Updated last year
Alternatives and similar repositories for nersc-dl-wandb:
Users that are interested in nersc-dl-wandb are comparing it to the libraries listed below
- single-GPU to multi-GPU training of PyTorch apps at NERSC☆18Updated last year
- PyTorch examples for NERSC systems☆32Updated 6 months ago
- SC23 Deep Learning at Scale Tutorial Material☆44Updated 7 months ago
- This is a repository with examples to run inference endpoints on various ALCF clusters☆19Updated last week
- ☆37Updated 9 months ago
- Repo for a DOE HPC workflow training event☆13Updated 2 years ago
- Collection of small examples for running on ALCF resources☆18Updated last week
- Build scripts for PyTorch @ NERSC☆11Updated 2 months ago
- Up-scale python functions for high performance computing (HPC)☆31Updated this week
- Self-describing sparse tensor data format for atomistic machine learning and beyond☆73Updated this week
- Example applications for the Department of Energy Computational Science Graduate Fellowship☆16Updated this week
- Testing using AI and ML techniques to solve quantum systems☆14Updated 2 years ago
- Covalent plugin for HPC batch job schedulers (e.g. Slurm, PBS, LSF, Flux, Cobalt) built around PSI/J☆9Updated 6 months ago
- CUDA implementations of MACE models☆14Updated 3 months ago
- ☆17Updated this week
- ☆27Updated last week
- MESS: Modern Electronic Structure Simulations☆20Updated 7 months ago
- Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.☆47Updated this week
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆80Updated 3 months ago
- AI Training Series Material☆35Updated 7 months ago
- Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.☆90Updated last week
- Arbitrary-order derivatives of popular electronic structure methods, such as Hartree-Fock and coupled cluster theory.☆65Updated 8 months ago
- The ALCF hosts a regular simulation, data, and learning workshop to help users scale their applications. This repository contains the exa…☆63Updated 6 months ago
- PyTorch training at CSCS☆15Updated last year
- Pure C implementation of e3nn☆18Updated last month
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆32Updated 2 months ago
- Library for steering campaigns of simulations on supercomputers☆53Updated last week
- MESS: Modern Electronic Structure Simulations☆30Updated last month
- Deep Learning at Scale Training Event at NERSC☆18Updated 2 months ago
- ExaWorks SDK☆11Updated last year