gpu-computing

#计算机科学#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 computa...

gyroflow 是一个可以通过陀螺仪和加速传感器，稳定视频防抖动的应用程序

High-performance TensorFlow library for quantitative finance.

#算法刷题#[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

#自然语言处理#Lingvo

#计算机科学#Resource scheduling and cluster management for AI

#计算机科学#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 ad...

GPGPU microprocessor architecture

CUDA integration for Python, plus shiny features

CUDA Core Compute Libraries

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

#计算机科学#Deep learning in Rust, with shape checked tensors and neural networks

#Awesome#😎 Curated list of awesome things around WebGPU ecosystem.

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 programmi...

#计算机科学#Simulation of spiking neural networks (SNNs) using PyTorch.

The write-once-run-anywhere GPGPU library for Rust

#计算机科学#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

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

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