collection of benchmarks to measure basic GPU capabilities

GPU Engineering for AI Systems

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

GCALASY - Gpu CAche Locking for Autonomous SYstems

Discovering data movement-related bottlenecks on NVidia GPUs.

A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)

Development repository for the Triton language and compiler

Reference implementations of MLPerf® inference benchmarks

LonestarGPU: Irregular algorithms parallelized for GPUs

Dataset for ML-guided Accelerator Design

An open autonomous driving platform

Implementation of popular deep learning networks with TensorRT network definition API

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Shell scripts to setup a NVIDIA Jetson AGX Xavier, Xavier NX, AGX Orin, or Orin Nano Developer Kit to boot from external storage.

A hyperparameter optimization framework

Artifact from "Hardware Compute Partitioning on NVIDIA GPUs". THIS IS A FORK OF BAKITAS REPO. I AM NOT ONE OF THE AUTHORS OF THE PAPER.

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Deep inverse problems in Python

KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale

A tool for examining GPU scheduling behavior.

Instructions, Docker images, and examples for Nsight Compute and Nsight Systems

Learn AI and LLMs from scratch using free resources

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

API Client for paperswithcode.com

🦀 Small exercises to get you used to reading and writing Rust code!