Python interface to CUDA Multi-Process Service
OTHER License
cuda编程学习入门
Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
Python interface to GPU-powered libraries
Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
A curated list of awesome GPGPU (CUDA/OpenCL/Vulkan) resources
CUDA C++ Core Libraries
Python library for fast time-series analysis on CUDA GPUs
Unifying Python/C++/CUDA memory: Python buffered array ↔️ `std::vector` ↔️ CUDA managed memory
Dockerfiles and manual for easy build of docker image with CUDA10.X and cuDNN7.6 to run TensorFlo...
The fastest way to compute matrix profiles on CPU and GPU!
Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being p...
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
Classes enabling finmath-lib to run its Monte-Carlo models on Cuda GPUs
Playing with CUDA and GPUs in Google Colab