Train, finetune and interact with a foundation model for the electric power grid.

Generate power flow data to train machine learning and foundation models for the electric power grid.

Distributed multigrid linear solver library on GPU

Julia package for simulating Dynamics on Networks

Package for dynamical modeling of power grids

This repository containts materials for End-to-End AI for Science

Development repository for the Triton language and compiler

Learning in infinite dimension with neural operators.

NVIDIA curated collection of educational resources related to general purpose GPU programming.

NVIDIA cuOpt examples for decision optimization

A Fortran linter, written in Rust and installable with Python.

Grokking the Coding Interview: Patterns for Coding Questions Alternative

Quant prep resources/logs

The simplest, fastest repository for training/finetuning medium-sized GPTs.

LLM training in simple, raw C/CUDA

An Online Deep Learning Interface for HPC programs on NVIDIA GPUs

[ICML'23] StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

A collection of non-portable Fortran usage, standard-conformant or otherwise

Next-Generation High-Fidelity CFD Solver

Step-by-step optimization of CUDA SGEMM

CUDA Library Samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

The simplest but fast implementation of matrix multiplication in CUDA.