Thin, unified, C++-flavored wrappers for the CUDA APIs
- api-wrapper
- cuda
- cuda-runtime-api
- modern-cpp
Repository Index
47,133 repositories indexed
25–48 of 49 · Most stars
C++ library for solving large sparse linear systems with algebraic multigrid method
- amg
- c-plus-plus
- sparse-linear-systems
- opencl
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
- computer-vision
- machine-learning
- deep-learning
- autonomous-vehicles
VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
- opencl
- cuda
- c-plus-plus
- gpgpu
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Numerical linear algebra software package
- linear-algebra
- hpc
- gpu-computing
- cuda
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
- optimization
- optimization-algorithms
- optimization-methods
- optimization-problem
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
- gpu
- exascale
- cfd
- fortran
Neural networks toolbox focused on medical image analysis
- python
- keras
- convolutional-neural-networks
- brain
High-performance, time-indexed object storage for robotics and industrial IoT
- blob-storage
- storage-engine
- storage
- historian
High-performance Bayesian Data Analysis on the GPU in Clojure
- clojure
- bayesian-inference
- bayesian-data-analysis
- gpu-computing
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
- imaging
- ai
- cloud-computing
- medical-imaging
CEED Library: Code for Efficient Extensible Discretizations
- ceed
- high-order
- exascale-computing
- api
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Clojure library for CUDA development
- clojure-library
- clojure
- cuda-development
- cuda
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
- cancer-imaging-research
- radiomics
- radiomics-features
- machine-learning
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
- go
- golang
- matrix
- scientific-computing
Scientific computing in pure Crystal
- crystal
- linear-algebra
- machine-learning
- autograd
Legend of Elya — N64 game with a real 6.36M-parameter ternary transformer on the VR4300 MIPS III CPU. Zelda-style dungeon, AI NPCs, byte-level inference at 1.23 tok/s scalar / 2.19 tok/s on the RSP overlay (measured under ares, never on silicon). Built with libdragon.
Cumo (pronounced like "koomo") is CUDA aware numerical library whose interface is highly compatible with Ruby Numo
- ruby
- cuda
- numo
- scicentific-computing
🛡️ Free AI that blocks hackers while you sleep. Runs on cheap hardware. When someone in Tokyo gets attacked, you're protected in 30 seconds. No fees. No experts needed. Just protection. One node's detection → everyone's protection.
- ai-security
- cybersecurity
- ids
- iot-security
Python3 script that transfers files in Google Colab 10-50x faster, using multi-threaded parallel copying between Google Drive locations.
- colab-notebook
- multithreading
- parallel-computing
- copy