srinivamd's repositories
rocminstaller
ROCm Install Utilities: rocminstall.py script to install a specific ROCm release version/revision.
alphafold
Open source code for AlphaFold.
AMDAcceleratorCloudGuides
Guides and FAQ for AMD Accelerator Cloud Users
beagle-lib
general purpose library for evaluating the likelihood of sequence evolution on trees
Containers
ROCm container dockerfiles
containertestscripts
Scripts to run and test application containers
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
gnina
A deep learning framework for molecular docking
gpu_performance_api
GPU Performance API for AMD GPUs
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
lammps
Public development project of the LAMMPS MD software package
libmolgrid
Comprehensive library for fast, GPU accelerated molecular gridding for deep learning workflows
markdown-cheatsheet
Markdown Cheatsheet for Github Readme.md
MIOpen
AMD's Machine Intelligence Library
ompi
Open MPI main development repository
openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
openmm
OpenMM is a toolkit for molecular simulation using high performance GPU code.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
rccl
ROCm Communication Collectives Library (RCCL)
relion
Image-processing software for cryo-electron microscopy
rocBLAS
Next generation BLAS implementation for ROCm platform
rocHPCG
HPCG benchmark based on ROCm platform
rocHPL
High Performance Linpack for Next-Generation AMD HPC Accelerators
ROCK-Kernel-Driver
AMDGPU Driver with KFD used by the ROCm project. Also contains the current Linux Kernel that matches this base driver
rocm_bandwidth_test
Bandwidth test for ROCm
rocmtechsupport
Utilities for ROCm Tech Support Log Collections
sbatchfiles
Sbatch files
ucx
Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)
vision
Datasets, Transforms and Models specific to Computer Vision