Python library for fast time-series analysis on CUDA GPUs
GPL-3.0 License
Spatial Sparse Convolution Library
Unifying Python/C++/CUDA memory: Python buffered array ↔️ `std::vector` ↔️ CUDA managed memory
Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss whil...
A brian2 extension to simulate spiking neural networks on GPUs
A general cubic equation solver and quartic equation minimisation solver written for CPU and Nvid...
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera ...
CUDA integration for Python, plus shiny features
NumPy & SciPy for GPU
Python interface to GPU-powered libraries
GPU Accelerated t-SNE for CUDA with Python bindings
The fastest way to compute matrix profiles on CPU and GPU!
Robotics with GPU computing
Solutions to Advent of Code 2020 using Numba and CUDA
A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries ...
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mi...