Scientific Software
Updated 10 months ago

libCEED — Peer-reviewed • Rank 18.8 • Science 100%

libCEED: Fast algebra for high-order element-based discretizations - Published in JOSS (2021)

Economics (40%)
Scientific Software · Peer-reviewed
Scientific Software
Updated 10 months ago

mpi4jax — Peer-reviewed • Rank 14.6 • Science 100%

mpi4jax: Zero-copy MPI communication of JAX arrays - Published in JOSS (2021)

Scientific Software · Peer-reviewed
Scientific Software
Updated 10 months ago

torchquad — Peer-reviewed • Rank 14.3 • Science 100%

torchquad: Numerical Integration in Arbitrary Dimensions with PyTorch - Published in JOSS (2021)

Scientific Software
Updated 10 months ago

New developments in PySDM and PySDM-examples v2 — Peer-reviewed • Rank 18.2 • Science 95%

New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping - Published in JOSS (2023)

Scientific Software
Updated 10 months ago

GeophysicalFlows.jl — Peer-reviewed • Rank 9.8 • Science 100%

GeophysicalFlows.jl: Solvers for geophysical fluid dynamics problems in periodic domains on CPUs & GPUs - Published in JOSS (2021)

Scientific Software
Updated 10 months ago

x11docker — Peer-reviewed • Rank 12.7 • Science 95%

x11docker: Run GUI applications in Docker containers - Published in JOSS (2019)

Computer Science (39%)
Scientific Software · Peer-reviewed
Scientific Software
Updated 10 months ago

FastGeodis — Peer-reviewed • Rank 12.6 • Science 95%

FastGeodis: Fast Generalised Geodesic Distance Transform - Published in JOSS (2022)

Scientific Software · Peer-reviewed
Scientific Software
Updated 10 months ago

Pyrgg — Peer-reviewed • Rank 13.3 • Science 93%

Pyrgg: Python Random Graph Generator - Published in JOSS (2017)

Scientific Software
Updated 10 months ago

TensorFlow.jl — Peer-reviewed • Rank 10.5 • Science 95%

TensorFlow.jl: An Idiomatic Julia Front End for TensorFlow - Published in JOSS (2018)

Earth and Environmental Sciences (40%)
Scientific Software · Peer-reviewed
Scientific Software
Updated 10 months ago

GraphNeT — Peer-reviewed • Rank 8.9 • Science 95%

GraphNeT: Graph neural networks for neutrino telescope event reconstruction - Published in JOSS (2023)

Scientific Software
Updated 10 months ago

Oceananigans.jl — Peer-reviewed • Rank 17.4 • Science 85%

Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs - Published in JOSS (2020)

Scientific Software
Updated 10 months ago

SiSyPHE — Peer-reviewed • Rank 6.5 • Science 95%

SiSyPHE: A Python package for the Simulation of Systems of interacting mean-field Particles with High Efficiency - Published in JOSS (2021)

Mathematics (37%)
Scientific Software · Peer-reviewed
Scientific Software
Updated 10 months ago

AmgXWrapper — Peer-reviewed • Rank 6.3 • Science 95%

AmgXWrapper: An interface between PETSc and the NVIDIA AmgX library - Published in JOSS (2017)

Scientific Software · Peer-reviewed
Scientific Software
Updated 10 months ago

GPUE — Peer-reviewed • Rank 6.0 • Science 95%

GPUE: Graphics Processing Unit Gross--Pitaevskii Equation solver - Published in JOSS (2018)

Materials Science
Scientific Software · Peer-reviewed
Scientific Software
Updated 10 months ago

Makie.jl — Peer-reviewed • Rank 23.8 • Science 77%

Makie.jl: Flexible high-performance data visualization for Julia - Published in JOSS (2021)

Scientific Software · Peer-reviewed
Updated 10 months ago

veros • Rank 14.5 • Science 85%

The versatile ocean simulator, in pure Python, powered by JAX.

Scientific Software
Updated 10 months ago

ExaDEM — Peer-reviewed • Rank 5.9 • Science 93%

ExaDEM: a HPC application based on exaNBody targeting scalable DEM simulations with complex particle shapes - Published in JOSS (2025)

Scientific Software · Peer-reviewed
Updated 10 months ago

CUDA • Rank 21.1 • Science 77%

CUDA programming in Julia.

Updated 10 months ago

umpire • Rank 12.9 • Science 85%

An application-focused API for memory management on NUMA & GPU architectures

Updated 10 months ago

t-elf • Rank 5.5 • Science 85%

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

Updated 10 months ago

scalene • Rank 26.0 • Science 64%

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Updated 10 months ago

terragpu • Rank 3.3 • Science 85%

Python library to process and classify remote sensing imagery by means of GPUs and ML.

Updated 10 months ago

pycuda • Rank 23.1 • Science 64%

CUDA integration for Python, plus shiny features

Updated 10 months ago

pennylane-lightning • Rank 21.8 • Science 64%

The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.

Updated 10 months ago

flamegpu2 • Rank 8.2 • Science 77%

FLAME GPU 2 is a GPU accelerated agent based modelling framework for CUDA C++ and Python

Updated 10 months ago

habitat • Rank 5.5 • Science 77%

🔮 Execution time predictions for deep neural network training iterations across different GPUs.

Updated 10 months ago

aluminum • Rank 8.4 • Science 72%

High-performance, GPU-aware communication library

Updated 10 months ago

tutorial-multi-gpu • Rank 8.1 • Science 72%

Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial

Updated 10 months ago

cuvec • Rank 11.7 • Science 67%

Unifying Python/C++/CUDA memory: Python buffered array ↔️ `std::vector` ↔️ CUDA managed memory

Updated 10 months ago

cutlass • Rank 24.1 • Science 54%

CUDA Templates for Linear Algebra Subroutines

Updated 10 months ago

babelstream • Rank 10.7 • Science 67%

STREAM, for lots of devices written in many programming models

Updated 10 months ago

oneAPI • Rank 12.9 • Science 64%

Julia support for the oneAPI programming toolkit.

Updated 10 months ago

tiny-cuda-nn • Rank 11.8 • Science 64%

Lightning fast C++/CUDA neural network framework

Updated 10 months ago

mlora-cli • Rank 11.3 • Science 64%

An Efficient "Factory" to Build Multiple LoRA Adapters

Updated 10 months ago

gemmkernels.jl • Rank 7.8 • Science 67%

Flexible and performant GEMM kernels in Julia

Updated 10 months ago

mosec • Rank 20.4 • Science 54%

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Updated 10 months ago

pyclesperanto • Rank 14.9 • Science 59%

GPU-accelerated Image Processing library for Python

Updated 10 months ago

devito • Rank 19.3 • Science 54%

DSL and compiler framework for automated finite-differences and stencil computation

Updated 10 months ago

RadonKA • Rank 5.2 • Science 67%

A simple yet sufficiently fast (attenuated) Radon and backproject implementation using KernelAbstractions.jl. Runs on CPU, CUDA, ...

Updated 10 months ago

arbor • Rank 17.2 • Science 54%

The Arbor multi-compartment neural network simulation library.

Updated 10 months ago

pyhpc-benchmarks • Rank 6.9 • Science 64%

A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:

Updated 10 months ago

nx • Rank 26.9 • Science 44%

Multi-dimensional arrays (tensors) and numerical definitions for Elixir

Updated 10 months ago

alpaka • Rank 11.1 • Science 59%

Abstraction Library for Parallel Kernel Acceleration :llama:

Updated 10 months ago

k-wave-python • Rank 15.6 • Science 54%

A Python interface to k-Wave GPU accelerated binaries

Updated 10 months ago

pytorch-benchmark • Rank 11.9 • Science 57%

Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption

Updated 10 months ago

celeritas • Rank 9.1 • Science 59%

Celeritas is a new Monte Carlo transport code designed to accelerate scientific discovery in high energy physics by improving detector simulation throughput and energy efficiency using GPUs.

Updated 10 months ago

nimpa • Rank 8.8 • Science 59%

NiftyPET: Neuro-Image Manipulation, Processing and Analysis

Updated 10 months ago

pika • Rank 8.3 • Science 59%

pika is a C++ tasking library built on std::execution with fibers, CUDA, HIP, and MPI support.

Updated 10 months ago

lc0 • Rank 12.7 • Science 54%

Open source neural network chess engine with GPU acceleration and broad hardware support.

Updated 10 months ago

DeconvOptim • Rank 7.5 • Science 57%

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

Updated 10 months ago

impactx • Rank 15.5 • Science 49%

high-performance modeling of beam dynamics in particle accelerators with collective effects

Updated 10 months ago

pytriton • Rank 20.0 • Science 44%

PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.

Updated 10 months ago

h2o • Rank 27.7 • Science 36%

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Updated 10 months ago

exponentialutilities.jl • Rank 8.4 • Science 54%

Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.

Updated 10 months ago

tmu • Rank 13.3 • Science 49%

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

Updated 10 months ago

nvgraph.sh • Rank 5.1 • Science 54%

CLI for nvGraph, which is a GPU-based graph analytics library written by NVIDIA, using CUDA.

Updated 10 months ago

triton-model-navigator • Rank 14.9 • Science 44%

Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.

Updated 10 months ago

lpa-xrd • Rank 4.9 • Science 54%

Line profile analysis X-ray diffraction simulator.

Updated 10 months ago

beaver • Rank 14.7 • Science 44%

MLIR Toolkit in Elixir and Zig.

Updated 10 months ago

matx • Rank 10.7 • Science 44%

An efficient C++17 GPU numerical computing library with Python-like syntax

Updated 10 months ago

scimlbenchmarksoutput • Rank 5.4 • Science 49%

SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance

Updated 10 months ago

quokka • Rank 7.8 • Science 46%

Two-moment AMR radiation hydrodynamics (with self-gravity, particles, and chemistry) on CPUs/GPUs for astrophysics

Updated 10 months ago

scikit-cuda • Rank 20.2 • Science 33%

Python interface to GPU-powered libraries

Updated 10 months ago

opencl-benchmark • Rank 5.5 • Science 44%

A small OpenCL benchmark program to measure peak GPU/CPU performance.

Updated 12 days ago

pytorch • Rank 38.6 • Science 10%

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Updated 10 months ago

text2vec-service • Rank 2.3 • Science 44%

Service for Bert model to Vector. 高效的文本转向量(Text-To-Vector)服务,支持GPU多卡、多worker、多客户端调用,开箱即用。

Updated 10 months ago

https://github.com/bytedance/flux • Rank 9.0 • Science 36%

A fast communication-overlapping library for tensor/expert parallelism on GPUs.

Updated 10 months ago

https://github.com/openmm/nnpops • Rank 7.1 • Science 36%

High-performance operations for neural network potentials

Updated 10 months ago

BG_Flood • Rank 6.1 • Science 36%

Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational. The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)

Updated 10 months ago

HIBAG • Rank 14.7 • Science 26%

R package – HLA Genotype Imputation with Attribute Bagging (development version only)

Updated 10 months ago

thundersvm • Rank 17.5 • Science 23%

ThunderSVM: A Fast SVM Library on GPUs and CPUs