Nervana_theano
A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Acnet | 768 | a year ago | 4 | mit | Python | |||||
| ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks | ||||||||||
| Kpconv Pytorch | 681 | 3 months ago | 86 | mit | Python | |||||
| Kernel Point Convolution implemented in PyTorch | ||||||||||
| Kpconv | 413 | 3 years ago | 12 | mit | Python | |||||
| Kernel Point Convolutions | ||||||||||
| Fft Conv Pytorch | 383 | 7 months 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. | ||||||||||
| Dynamic Convolution Pytorch | 352 | 2 years ago | 13 | Python | ||||||
| Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020) | ||||||||||
| Rocket | 240 | 2 years ago | 1 | gpl-3.0 | Python | |||||
| ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels | ||||||||||
| Cltune | 148 | a year ago | 2 | other | C++ | |||||
| CLTune: An automatic OpenCL & CUDA kernel tuner | ||||||||||
| Maxdnn | 122 | 7 years ago | 1 | mit | C++ | |||||
| High Efficiency Convolution Kernel for Maxwell GPU Architecture | ||||||||||
| Tf Deformable Conv | 105 | 6 years ago | 14 | apache-2.0 | C++ | |||||
| Implementation of deformable convolution as an operation in tensorflow | ||||||||||
| Nonuniformblur | 100 | 3 months ago | 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. | ||||||||||
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