ThunderGBM: Fast GBDTs and Random Forests on GPUs
APACHE-2.0 License
CUDA C++ Core Libraries
Programmable CUDA/C++ GPU Graph Analytics
An architecture for LLMs' continual-learning and long-term memories
A brian2 extension to simulate spiking neural networks on GPUs
Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being p...
Abstraction Library for Parallel Kernel Acceleration
A curated list of awesome GPGPU (CUDA/OpenCL/Vulkan) resources
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package wi...
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)
A PyTorch Library for Accelerating 3D Deep Learning Research
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
A high-performance inference system for large language models, designed for production environments.
Python interface to GPU-powered libraries
A collection of GICP-based fast point cloud registration algorithms