410 Open source projects that are alternatives of or similar to hiperc

Minimal Example of Using Vulkan for Compute Operations. Only ~400LOC.

Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59

Robotics with GPU computing

John the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs

Converting vertex meshes to voxel data and visualizing using VCT

TornadoVM: A practical and efficient heterogeneous programming framework for managed languages

Implementation of curl noise for particles simulated on GPU with OpenGL

Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.

Path tracing render engine for the web. Both ray tracing for conventional 3d models and ray marching for fractals implemented. Built with WebGL 2 and Angular 2.

Applied Matematical Methods in Materials Engineering

Print all known information about all available OpenCL platforms and devices in the system

SYCL Benchmark Suite

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

The dependency-aware, high-performance aardvark rendering engine. This repo is part of aardvark - an open-source platform for visual computing, real-time graphics and visualization.

Neural network library written in C and Javascript

Vulkan 1.0 graphics and compute API bindings for .NET Standard

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

The OpenCL Utility library

A C++ GPU Computing Library for OpenCL

A WebGPU Engine for real-time rendering and GPGPU

GPU Framework for Radio Astronomical Image Synthesis

Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.

Stream Processing with OCaml

DMFTwDFT: An open-source code combining Dynamical Mean Field Theory with various Density Functional Theory packages

atomate2 is a library of computational materials science workflows

High-level C++ for Accelerator Clusters

A linear algebra library written in Rust

A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.

WebGL Electric Sheep Renderer

World's fastest and most advanced password recovery utility

WebGL 2.0 GPGPU compute library for JavaScript.

Benzina is an image-loader package that greatly accelerates image loading onto GPUs using their built-in hardware codecs.

Realtime GPU Path tracer based on OpenCL and OpenGL

kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order

GPU-accelerated Computer Vision for JavaScript.

An optimized OpenCL implementation of the Non-local means de-noising algorithm

Community packages of John the Ripper (a Docker image, a Flatpak, a Windows PortableApp, and Ubuntu SNAP packages)

Axle Domain Specific Language for Scientific Cloud Computing and Visualization

Small library for running arbitrary computations on the GPU, using JavaScript or WebAssembly.

Realtime rectangle detector with GPGPU

QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

GPGPU for mobile devices and embedded systems using OpenGL ES 2.0

A garden for scikit-learn compatible trees

Golang RServe client. Use R from Go

Java wrapper for ArrayFire

ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

An extensible HPC framework for CUDA, OpenCL and native CPU.

Seamless is a framework to set up reproducible computations (and visualizations) that respond to changes in cells. Cells contain the input data as well as the source code of the computations, and all cells can be edited interactively.

💎 Feel++: Finite Element Embedded Language and Library in C++

SYCL-DNN is a library implementing neural network algorithms written using SYCL

⚡ High-performance GPU interactive scientific data visualization with Vulkan

✨ Standard library for JavaScript and Node.js. ✨

GPU Javascript Library for Machine Learning

A framework for Smoothed Particle Hydrodynamics in Python

OpenQuake's Engine for Seismic Hazard and Risk Analysis

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Rapid and flexible acquisition, analysis, fitting, and plotting in Python. Designed for scientific laboratories.

A Collection of Articles and other OpenCL Papers

A Python package for performing pore network modeling of porous media

SUNDIALS is a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. This is a mirror of current releases, and development will move here eventually. Pull requests are welcome for bug fixes and minor changes.