| DingXiaoH/ACNet |
768 |
|
0 |
0 |
about 3 years ago |
0 |
|
4 |
mit |
Python |
| ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks |
| HuguesTHOMAS/KPConv-PyTorch |
681 |
|
0 |
0 |
over 2 years ago |
0 |
|
86 |
mit |
Python |
| Kernel Point Convolution implemented in PyTorch |
| HuguesTHOMAS/KPConv |
413 |
|
0 |
0 |
about 5 years ago |
0 |
|
12 |
mit |
Python |
| Kernel Point Convolutions |
| fkodom/fft-conv-pytorch |
383 |
|
0 |
0 |
over 2 years ago |
8 |
September 28, 2023 |
4 |
mit |
Python |
| Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes. |
| kaijieshi7/Dynamic-convolution-Pytorch |
352 |
|
0 |
0 |
almost 4 years ago |
0 |
|
13 |
|
Python |
| Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020) |
| angus924/rocket |
240 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels |
| CNugteren/CLTune |
148 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
other |
C++ |
| CLTune: An automatic OpenCL & CUDA kernel tuner |
| eBay/maxDNN |
122 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
mit |
C++ |
| High Efficiency Convolution Kernel for Maxwell GPU Architecture |
| Zardinality/TF-deformable-conv |
105 |
|
0 |
0 |
about 8 years ago |
0 |
|
14 |
apache-2.0 |
C++ |
| Implementation of deformable convolution as an operation in tensorflow |
| StarsX/NonuniformBlur |
100 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
mit |
C |
| Authors' implementation of my SIGGRAPH Asia 2019 Technical Briefs (The Power of Box Filters: Real-time Approximation to Large Convolution Kernel by Box-filtered Image Pyramid) demo I (just for reference). A very fast approximation to large-kernel Gaussian blur with nonuniform blur radii, by making use of box-filtered mip maps V-cycle (theoratically related to Haar wavelet tranforms). The mathematical model can be found in the PDF file. |
