Pytorch Wavelet Toolbox
Differentiable fast wavelet transforms in PyTorch with GPU support.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Face Alignment | 6,551 |  | 6 | 5 | 8 months ago | 14 | August 17, 2023 | 78 | bsd-3-clause | Python |
| :fire: 2D and 3D Face alignment library build using pytorch | ||||||||||
| Flops Counter.pytorch | 2,606 |  | 5 | 19 | 5 months ago | 20 | October 27, 2023 | 30 | mit | Python |
| Flops counter for convolutional networks in pytorch framework | ||||||||||
| Medmnist | 903 | 5 months ago | 7 | August 17, 2023 | 1 | apache-2.0 | Python | |||
| [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification | ||||||||||
| Pytorch_wavelets | 538 |  | 1 | 2 years ago | 1 | April 13, 2023 | 8 | other | Python | |
| Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet | ||||||||||
| Pytorch Medical Segmentation | 536 | 2 years ago | 3 | mit | Python | |||||
| This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D. | ||||||||||
| Pytorch Normalizing Flows | 486 | 4 years ago | 5 | Jupyter Notebook | ||||||
| Normalizing flows in PyTorch. Current intended use is education not production. | ||||||||||
| Von | 479 | 4 years ago | 8 | other | Python | |||||
| [NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation. | ||||||||||
| Attn2d | 475 | 3 years ago | mit | Python | ||||||
| Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction | ||||||||||
| Multidim Positional Encoding | 429 | 6 months ago | 14 | June 17, 2022 | 1 | mit | Python | |||
| An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow | ||||||||||
| Fft Conv Pytorch | 383 | 9 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. | ||||||||||
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