搜索资源列表
3d-dem-cuda-sphere-master
- 离散单元法中流固耦合部分圆形颗粒描述的多场耦合现象-DEM CFD-DEM COUPPLING
c-DemSo-master
- 二维cuda c书写的离散单元法计算程序圆形颗粒-DEM CUDA C 2DIMENSIONS
cudann
- 一个前馈反向传播人工神经网络的实现，并应用CUDA加速-Implementation of a feed-forward backpropagation artificial neural network using CUDA
mergeSort
- 超快速排序C程序，使用cuda编程,质量高-fast sort c program, use cuda.
IIRCuda
- simple iir filter implementation on cuda
GPUBarCode
- 这是在Matlab软件平台下的 GPU程序，用最近邻域双线性插值算法填补图像中缺失区域，是并行运算处理，使用CUDA来编写程序。(This is the GPU program under the Matlab software platform, and the nearest neighborhood bilinear interpolation algorithm to fill the missing areas in the image is parallel processing,
loadcaffe-master
- 通过caffe和matlab，实现cnn网络(supported by https://github.com/soumith/inception.torch NN support means both CPU and GPU backends. You can also use Caffe inside Torch with this: https://github.com/szagoruyko/torch-caffe-binding However you can't use bo
MTCNN_face_detection_alignment-master
- 人脸检测 matlab+caffe+cuda(face detection: matlab+caffe+cuda)
euler2d_cudaFortran-master
- GPU实现2d欧拉方程问题，fortran 实现，简单易学，可以下载试试(GPU 2D Euler equations to achieve the problem, FORTRAN implementation, easy to learn, you can download to try)
darknet-master
- 是一种神经网络框架，在其基础上可以实现物体检测，图像分类，模式识别功能。(Darknet is a neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do righ
atopic
- cuda的一个关于简单程序,矩阵算法实例,利用这个算法可以更好的掌握cuda 他是cuda的入门例子,()
klument
- cuda简单例子,适合初学者,my first kernel()
pycuda-2017.1.1.tar
- 矩阵相乘的并行运算的算法，运算效率可以轻松提高近100倍。是进行人工智能研究及深度学习先关研究的必备并行算法。(The algorithm of parallel operation of matrix multiplication can easily increase the operation efficiency by nearly 100 times. It is a necessary parallel algorithm for the study of artificial in
tSNE-cuda-master
- 基于matllab实现的tsne统计算法，在数学建模中效果显著(The tsne statistical algorithm based on matllab is significant in mathematical modeling)
pxbvl
- cuda的一个关于简单程序,矩阵算法实例,利用这个算法可以更好的掌握cuda 他是cuda的入门例子,()
marchingCubes
- 1.在MATLAB中直接实现Marching Cubes; 2.使用了向量化和预分配的概念在MATLAB中优化; 3.用c-mex函数和GPU实现.(1. Marching Cubes is realized directly in MATLAB; 2., the concepts of VQ and pre allocation are optimized in MATLAB. 3. is implemented with c-MEX function and GPU.)
win10配置tensorflow gpu版不用装CUDA
- 这是本人写的一篇安装tensorflow的方法，用于win10系统，gpu版(This is an article written by myself for installing tensorflow gpu version.)
这是BPF算法
- 这里提供的BPF算法可以作为论文《BPF重建算法的CUDA并行实现》的测试代码。