uformer-pytorch
Implementation of Uformer, Attention-based Unet, in Pytorch (by lucidrains)
mixture-of-experts
A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models (by lucidrains)
| uformer-pytorch | mixture-of-experts | |
|---|---|---|
| 1 | 1 | |
| 91 | 525 | |
| - | - | |
| 0.0 | 4.1 | |
| over 2 years ago | 8 months ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
uformer-pytorch
Posts with mentions or reviews of uformer-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] How to integrate ViT into U-Net using this library?
just use https://github.com/lucidrains/uformer-pytorch
mixture-of-experts
Posts with mentions or reviews of mixture-of-experts.
We have used some of these posts to build our list of alternatives
and similar projects.
-
How to Go beyond Data Parallelism and Model Parallelism: Talking from GShard[R]
Code for https://arxiv.org/abs/2006.16668 found: https://github.com/lucidrains/mixture-of-experts
What are some alternatives?
When comparing uformer-pytorch and mixture-of-experts you can also consider the following projects:
Speech-enhancement - Deep learning for audio denoising
conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
Mask-RCNN-TF2.7.0-keras2.7.0 - Mask R-CNN for object detection and instance segmentation on Keras==2.7.0 and TensorFlow==2.7.0