Python interface to GPU-powered libraries
OTHER License
A curated list of awesome GPGPU (CUDA/OpenCL/Vulkan) resources
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mi...
Python library for fast time-series analysis on CUDA GPUs
CUDA C++ Core Libraries
Python interface to CUDA Multi-Process Service
Classes enabling finmath-lib to run its Monte-Carlo models on Cuda GPUs
Dockerfiles and manual for easy build of docker image with CUDA10.X and cuDNN7.6 to run TensorFlo...
A brian2 extension to simulate spiking neural networks on GPUs
Abstraction Library for Parallel Kernel Acceleration
Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).
Unifying Python/C++/CUDA memory: Python buffered array ↔️ `std::vector` ↔️ CUDA managed memory
cuda编程学习入门
Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being p...
A PyTorch Library for Accelerating 3D Deep Learning Research
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!