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Top 11 Python swin-transformer Projects
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Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
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SimMIM
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
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Swin-Transformer-Tensorflow
Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)
Project mention: Samsung expected to report 80% profit plunge as losses mount at chip business | news.ycombinator.com | 2023-10-10> there is really nothing that "normal" AI requires that is bound to CUDA. pyTorch and Tensorflow are backend agnostic (ideally...).
There are a lot of optimizations that CUDA has that are nowhere near supported in other software or even hardware. Custom cuda kernels also aren't as rare as one might think, they will often just be hidden unless you're looking at libraries. Our more well known example is going to be StyleGAN[0] but it isn't uncommon to see elsewhere, even in research code. Swin even has a cuda kernel[1]. Or find torch here[1] (which github reports that 4% of the code is cuda (and 42% C++ and 2% C)). These things are everywhere. I don't think pytorch and tensorflow could ever be agnostic, there will always be a difference just because you have to spend resources differently (developing kernels is time resource). We can draw evidence by looking at Intel MKL, which is still better than open source libraries and has been so for a long time.
I really do want AMD to compete in this space. I'd even love a third player like Intel. We really do need competition here, but it would be naive to think that there's going to be a quick catchup here. AMD has a lot of work to do and posting a few bounties and starting a company (idk, called "micro grad"?) isn't going to solve the problem anytime soon.
And fwiw, I'm willing to bet that most AI companies would rather run in house servers than from cloud service providers. The truth is that right now just publishing is extremely correlated to compute infrastructure (doesn't need to be but with all the noise we've just said "fuck the poor" because rejecting is easy) and anyone building products has costly infrastructure.
[0] https://github.com/NVlabs/stylegan2-ada-pytorch/blob/d72cc7d...
[1] https://github.com/microsoft/Swin-Transformer/blob/2cb103f2d...
[2] https://github.com/pytorch/pytorch/tree/main/aten/src
Python swin-transformer related posts
- Samsung expected to report 80% profit plunge as losses mount at chip business
- Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows
- Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
- Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows
- Transfer Learning on Swin Transformer as a backbone for instance segmentation using MRCNN
- [D] Influential papers round-up 2022. What are your favorites?
- [R] LiBai: a large-scale open-source model training toolbox
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A note from our sponsor - SaaSHub
www.saashub.com | 27 Apr 2024
Index
What are some of the best open-source swin-transformer projects in Python? This list will help you:
Project | Stars | |
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1 | mmdetection | 27,742 |
2 | Swin-Transformer | 12,917 |
3 | mmsegmentation | 7,380 |
4 | PaddleClas | 5,251 |
5 | mmpretrain | 3,156 |
6 | Swin-Transformer-Object-Detection | 1,710 |
7 | Video-Swin-Transformer | 1,309 |
8 | Swin-Transformer-Semantic-Segmentation | 1,081 |
9 | SimMIM | 860 |
10 | Swin-Transformer-Tensorflow | 61 |
11 | Swin-Transformer-Serve | 26 |
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