Stars
A collection of awesome bio-foundation models, including protein, RNA, DNA, gene, single-cell, and so on.
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
Controlled Vocabularies (CVs) for use in CMIP6
Advanced Profiling and Analytics for AMD Hardware
An Online Deep Learning Interface for HPC programs on NVIDIA GPUs
Repo for climate deep learning codes
Running large language models on a single GPU for throughput-oriented scenarios.
A repository of CrayLabs and user contributed examples of using SmartSim.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" https://lorenabarba.com/
Caliper is an instrumentation and performance profiling library
为 Eijhout 教授的Introduction to HPC提供中文翻译、 PPT和Lab。
Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lig…
An FPGA accelerator for general-purpose Sparse-Matrix Dense-Matrix Multiplication (SpMM).
An unofficial mirror of the core PARSEC 3.0 benchmark suite with patches to run on x86_64 Arch Linux and generalize builds.
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
SciML Benchmarking Suite for AI for Science
Reference implementations of MLPerf™ HPC training benchmarks
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Bayesian Deep Learning Benchmarks
High-quality implementations of standard and SOTA methods on a variety of tasks.
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Tutorial for MOM6 including practical examples of source code modification
Example configurations for MOM6 and SIS2