Cuda Cuda

Open-source Cuda projects categorized as Cuda Edit details

Top 11 Cuda Cuda Projects

  • instant-ngp

    Instant neural graphics primitives: lightning fast NeRF and more

    Project mention: My first NeRF | reddit.com/r/photogrammetry | 2022-09-24
  • cuml

    cuML - RAPIDS Machine Learning Library

    Project mention: [P] Looking for state of the art clustering algorithms | reddit.com/r/MachineLearning | 2022-09-14

    As a companion to the other comments, I'd like to mention that the RAPIDS library cuML provides GPU-accelerated versions of quite a few of the algorithms mentioned in this thread (HDBSCAN, UMAP, SVM, PCA, {Exact, Approximate} Nearest Neighbors, DBSCAN, KMeans, etc.).

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  • cub

    Cooperative primitives for CUDA C++. (by NVIDIA)

    Project mention: Do you transfer back to CPU for intermediate sequential calculations? | reddit.com/r/gpgpu | 2022-01-06
  • cugraph

    cuGraph - RAPIDS Graph Analytics Library

    Project mention: GraphBLAS | news.ycombinator.com | 2022-09-14

    https://en.wikipedia.org/wiki/Sparse_matrix :

    > The concept of sparsity is useful in combinatorics and application areas such as network theory and numerical analysis, which typically have a low density of significant data or connections. Large sparse matrices often appear in scientific or engineering applications when solving partial differential equations.

    CuGraph has a NetworkX-like API, though only so many of the networkx algorithms are CUDA-optimized.

    https://github.com/rapidsai/cugraph :

    > cuGraph operates, at the Python layer, on GPU DataFrames, thereby allowing for seamless passing of data between ETL tasks in cuDF and machine learning tasks in cuML. Data scientists familiar with Python will quickly pick up how cuGraph integrates with the Pandas-like API of cuDF. Likewise, users familiar with NetworkX will quickly recognize the NetworkX-like API provided in cuGraph, with the goal to allow existing code to be ported with minimal effort into RAPIDS.

    > While the high-level cugraph python API provides an easy-to-use and familiar interface for data scientists that's consistent with other RAPIDS libraries in their workflow, some use cases require access to lower-level graph theory concepts. For these users, we provide an additional Python API called pylibcugraph, intended for applications that require a tighter integration with cuGraph at the Python layer with fewer dependencies. Users familiar with C/C++/CUDA and graph structures can access libcugraph and libcugraph_c for low level integration outside of python.

    /? sparse

  • MegBA

    MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

    Project mention: Photometric Bundle Adjustment library? | reddit.com/r/computervision | 2022-06-07
  • cuhnsw

    CUDA implementation of Hierarchical Navigable Small World Graph algorithm

  • CUDA-Guide

    CUDA Guide

    Project mention: Tools and Programs for CUDA development | reddit.com/r/nvidia | 2022-03-30
  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • LSQR-CUDA

    This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.

    Project mention: CUDA LSQR Solver | reddit.com/r/CUDA | 2021-11-30

    Repository here

  • repeater-max-cuda

    The CUDA version of the Repeater MAX. Repeats intentions up to 1.5+ EHz.

  • cuda-devcontainer

    CUDA Development Container

    Project mention: CUDA Development Container | reddit.com/r/CUDA | 2022-07-03

    You could find configuration files in this repo.

  • FirstCollisionTimestepRarefiedGasSimulator

    This simulator computes all possible intersections for a very small timestep for a particle model

    Project mention: First Collision Timestep Simulator: This simulator computes all possible intersections for a very small timestep in a particle model | reddit.com/r/code | 2022-08-04
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2022-09-24.

Cuda Cuda related posts

Index

What are some of the best open-source Cuda projects in Cuda? This list will help you:

Project Stars
1 instant-ngp 9,029
2 cuml 2,919
3 cub 1,265
4 cugraph 1,106
5 MegBA 313
6 cuhnsw 63
7 CUDA-Guide 14
8 LSQR-CUDA 7
9 repeater-max-cuda 4
10 cuda-devcontainer 1
11 FirstCollisionTimestepRarefiedGasSimulator 1
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