Topic: gpu-computing Goto Github
Some thing interesting about gpu-computing
Some thing interesting about gpu-computing
gpu-computing,A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Organization: catboost
Home Page: https://catboost.ai
gpu-computing,Video stabilization using gyroscope data
Organization: gyroflow
Home Page: https://gyroflow.xyz
gpu-computing,High-performance TensorFlow library for quantitative finance.
Organization: google
gpu-computing,The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
User: projectphysx
Home Page: https://youtube.com/@ProjectPhysX
gpu-computing,Lingvo
Organization: tensorflow
gpu-computing,Resource scheduling and cluster management for AI
Organization: microsoft
Home Page: https://openpai.readthedocs.io
gpu-computing,General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Organization: komputeproject
Home Page: http://kompute.cc/
gpu-computing,A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
Organization: software-mansion
Home Page: http://typegpu.com
gpu-computing,CUDA Core Compute Libraries
Organization: nvidia
Home Page: https://nvidia.github.io/cccl/
gpu-computing,GPGPU microprocessor architecture
User: jbush001
gpu-computing,CUDA integration for Python, plus shiny features
User: inducer
Home Page: http://mathema.tician.de/software/pycuda
gpu-computing,Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Organization: sciml
Home Page: https://book.sciml.ai/
gpu-computing,Deep learning in Rust, with shape checked tensors and neural networks
User: chelsea0x3b
gpu-computing,😎 Curated list of awesome things around WebGPU ecosystem.
User: mikbry
gpu-computing,Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
Organization: adaptivecpp
Home Page: https://adaptivecpp.github.io/
gpu-computing,Simulation of spiking neural networks (SNNs) using PyTorch.
Organization: bindsnet
gpu-computing,The write-once-run-anywhere GPGPU library for Rust
User: calebwin
Home Page: https://calebwin.github.io/emu
gpu-computing,TornadoVM: A practical and efficient heterogeneous programming framework for managed languages
Organization: beehive-lab
Home Page: https://www.tornadovm.org
gpu-computing,An efficient C++20 GPU numerical computing library with Python-like syntax
Organization: nvidia
Home Page: https://nvidia.github.io/MatX
gpu-computing,A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
User: mratsim
Home Page: https://mratsim.github.io/Arraymancer/
gpu-computing,LuxCore source repository
Organization: luxcorerender
gpu-computing,stdgpu: Efficient STL-like Data Structures on the GPU
User: stotko
Home Page: https://stotko.github.io/stdgpu/
gpu-computing,Fast Clojure Matrix Library
Organization: uncomplicate
Home Page: http://neanderthal.uncomplicate.org
gpu-computing,Embedded language for high-performance array computations
Organization: acceleratehs
Home Page: https://www.acceleratehs.org
gpu-computing,Thin, unified, C++-flavored wrappers for the CUDA APIs
User: eyalroz
gpu-computing,Blender Integration for LuxCore
Organization: luxcorerender
gpu-computing,This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
User: langhalsdino
gpu-computing,List of Deep Learning Cloud Providers
User: zszazi
gpu-computing,Performance-Portable Particle-in-Cell Simulations for the Exascale Era :sparkles:
Organization: computationalradiationphysics
Home Page: https://picongpu.readthedocs.io
gpu-computing,GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.
Organization: iot-salzburg
gpu-computing,Parallel programming tutorials
User: scicomputing
gpu-computing,Sample code for compute shader 101 training
Organization: googlefonts
gpu-computing,Numerical linear algebra software package
Organization: ginkgo-project
Home Page: https://ginkgo-project.github.io/
gpu-computing,AutoDock for GPUs and other accelerators
Organization: ccsb-scripps
Home Page: https://autodock.scripps.edu
gpu-computing,Differentiable Fluid Dynamics Package
Organization: tumaer
gpu-computing,Modern GPU Compute and Rendering in Javascript
User: amesingflank
Home Page: https://taichi-js.com
gpu-computing,collection of benchmarks to measure basic GPU capabilities
Organization: rrze-hpc
gpu-computing,A framework for high-performance medical image processing, neural network inference and visualization
Organization: fast-imaging
Home Page: https://fast-imaging.github.io
gpu-computing,Heterogeneous programming in Julia
Organization: juliagpu
gpu-computing,CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.
User: codedk
gpu-computing,OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.
User: projectphysx
gpu-computing,Implementation of OpenCL 3.0 on Vulkan
User: kpet
gpu-computing,Vulkan Path Tracer. Physically based path tracer made in Vulkan with Ray Tracing Pipeline.
User: zydak
gpu-computing,Kernel Tuner
Organization: kerneltuner
Home Page: https://kerneltuner.github.io/kernel_tuner/
gpu-computing,🏃♂️💨 GPU accelerated STARK prover built on @arkworks-rs
User: andrewmilson
gpu-computing,High-performance Bayesian Data Analysis on the GPU in Clojure
Organization: uncomplicate
gpu-computing,RDNA-native LLM inference engine in Rust.
User: kaden-schutt
gpu-computing,Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
Organization: mflowcode
Home Page: https://mflowcode.github.io/
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