Seq2seq Dataloader
| 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) | ||||||||||
| Pytorch Meta | 1,724 | a year ago | 28 | September 20, 2021 | 53 | mit | Python | |||
| A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch | ||||||||||
| Pytorchtricks | 907 | 2 years ago | ||||||||
| Some tricks of pytorch... :star: | ||||||||||
| Deepsvg | 829 | 3 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 | ||||||||||
| Pytorch Unet | 357 | 4 years ago | 6 | mit | Jupyter Notebook | |||||
| Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation | ||||||||||
| Continuum | 343 | a year ago | 52 | January 02, 2023 | 32 | mit | Python | |||
| A clean and simple data loading library for Continual Learning | ||||||||||
| 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 ) | ||||||||||
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