Python library for fast time-series analysis on CUDA GPUs
GPL-3.0 License
Published by johnh2o2 over 3 years ago
PyCUDA version requirement changed to >=2017.1.1, fixed memory leak in BLS.
>=2017.1.1
The fastest Tropical number matrix multiplication on GPU
cuda编程学习入门
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
A general cubic equation solver and quartic equation minimisation solver written for CPU and Nvid...
Unifying Python/C++/CUDA memory: Python buffered array ↔️ `std::vector` ↔️ CUDA managed memory
A brian2 extension to simulate spiking neural networks on GPUs
Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)
A curated list of awesome GPGPU (CUDA/OpenCL/Vulkan) resources
CUDA C++ Core Libraries
Some CUDA design patterns and a bit of template magic for CUDA
Python interface to CUDA Multi-Process Service
Python interface to GPU-powered libraries
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mi...
The fastest way to compute matrix profiles on CPU and GPU!