A large-scale simulation framework for LLM inference

A tool for generating information about the matrix multiplication instructions in AMD Radeon™ and AMD Instinct™ accelerators

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

Instant neural graphics primitives: lightning fast NeRF and more

Examples illustrating usage of the rocBLAS library

Running large language models on a single GPU for throughput-oriented scenarios.

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Language Model for All.

Let us control diffusion models

Public development project of the LAMMPS MD software package

PyFR

HPCG benchmark based on ROCm platform

Scipy library main repository

14 basic topics for VEGA64 performance optmization

Next generation FFT implementation for ROCm

Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster

An ultra-high-performance protein-protein docking for heterogeneous supercomputers

Caffe: a fast open framework for deep learning.

Bandwidth test for ROCm

train resnet on imagenet from scratch with caffe

Caffe toolkit, including installing Caffe, creating various networks.

Demo code for PVANET

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

http://web.engr.illinois.edu/~dhoiem/projects/detectionAnalysis/

Efficient Image Captioning code in Torch, runs on GPU

Automatic indexing on live streaming videos with deep neural network

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

LSTM implementation on Caffe