cuda编程学习入门
MIT License
Python interface to GPU-powered libraries
Python library for fast time-series analysis on CUDA GPUs
Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).
CUDA C++ Core Libraries
SDK for GPU accelerated genome assembly and analysis
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...
Some CUDA design patterns and a bit of template magic for CUDA
使用yolov8、fast-reid、deepsort完成目标跟踪
A curated list of awesome GPGPU (CUDA/OpenCL/Vulkan) resources
Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being p...
Playing with CUDA and GPUs in Google Colab
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
Provide Docker build sequences of PyTorch for various environments.
A general cubic equation solver and quartic equation minimisation solver written for CPU and Nvid...