Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Dali | 5,171 | 4 | 3 months ago | 19 | December 06, 2023 | 209 | apache-2.0 | C++ | ||
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. | ||||||||||
Unet | 4,218 | 2 years ago | 203 | mit | Jupyter Notebook | |||||
unet for image segmentation | ||||||||||
Face.evolve | 3,074 | 2 years ago | 84 | mit | Python | |||||
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥 | ||||||||||
Webdataset | 2,264 | 51 | 4 months ago | 71 | December 07, 2023 | 93 | bsd-3-clause | Python | ||
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch. | ||||||||||
Torchio | 1,904 | 29 | a year ago | 245 | November 24, 2023 | 44 | apache-2.0 | Python | ||
Medical imaging toolkit for deep learning | ||||||||||
Torchsample | 1,829 | a year ago | 59 | other | Python | |||||
High-Level Training, Data Augmentation, and Utilities for Pytorch | ||||||||||
Audiomentations | 1,605 | 5 | a year ago | 37 | November 24, 2023 | 46 | mit | Python | ||
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning. | ||||||||||
Fastdup | 1,313 | a year ago | 284 | December 01, 2023 | 23 | other | Python | |||
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale. | ||||||||||
Awesome Graph Self Supervised Learning | 1,194 | a year ago | 1 | |||||||
Awesome Graph Self-Supervised Learning | ||||||||||
Torch Audiomentations | 823 | 3 | a year ago | 14 | June 29, 2022 | 49 | mit | Python | ||
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning. |