NOAH
Searching prompt modules for parameter-efficient transfer learning. (by ZhangYuanhan-AI)
SparK
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling" (by keyu-tian)
| NOAH | SparK | |
|---|---|---|
| 1 | 3 | |
| 203 | 1,389 | |
| - | - | |
| 4.0 | 7.3 | |
| 5 months ago | 4 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.
NOAH
Posts with mentions or reviews of NOAH.
We have used some of these posts to build our list of alternatives
and similar projects.
-
NTU Researchers Propose ‘NOAH’: Neural Prompt Search for Large Vision Models
Continue reading | Checkout the paper, github.
SparK
Posts with mentions or reviews of SparK.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-17.
-
[R] [ICLR'2023 Spotlight🌟]: The first BERT-style pretraining on CNNs!
For more details on SparK, please see our paper and code&demo, or shoot us questions!
-
[R] A new work makes CNNs (e.g., ResNet) enjoy the BERT-style pretraining! (with a video demo)
Found relevant code at https://github.com/keyu-tian/SparK + all code implementations here
What are some alternatives?
When comparing NOAH and SparK you can also consider the following projects:
multi-domain-imbalance - [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
SimMIM - This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
DeepMalwareDetector - A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.