| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Text | 3,411 |  | 341 | 146 | 3 months ago | 29 | November 15, 2023 | 314 | bsd-3-clause | Python |
| Models, data loaders and abstractions for language processing, powered by PyTorch | ||||||||||
| Pytorch Nlp | 2,180 |  | 9 | 10 | 10 months ago | 19 | November 04, 2019 | 24 | bsd-3-clause | Python |
| Basic Utilities for PyTorch Natural Language Processing (NLP) | ||||||||||
| Deepsvg | 829 | 4 months ago | 28 | mit | Jupyter Notebook | |||||
| [NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data. | ||||||||||
| Medicaltorch | 724 | 3 years ago | 2 | November 24, 2018 | 14 | apache-2.0 | Python | |||
| A medical imaging framework for Pytorch | ||||||||||
| Mobilepose | 622 | 3 months ago | 11 | Jupyter Notebook | ||||||
| Light-weight Single Person Pose Estimator | ||||||||||
| Ssd Pytorch | 335 | 2 years ago | 2 | apache-2.0 | Python | |||||
| SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to understand ) | ||||||||||
| Video Dataset Loading Pytorch | 323 | a year ago | 1 | bsd-2-clause | Python | |||||
| Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops. | ||||||||||
| Sequential Imagenet Dataloader | 199 | 3 years ago | 2 | mit | Python | |||||
| A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch. | ||||||||||
| Vcn | 147 | 9 months ago | 5 | mit | Jupyter Notebook | |||||
| Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019. | ||||||||||
| Text_recognition_toolbox | 141 | 3 years ago | 2 | Python | ||||||
| text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way. | ||||||||||
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