AdasOptimizer
ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance (by YanaiEliyahu)
imagenette
A smaller subset of 10 easily classified classes from Imagenet, and a little more French (by fastai)
| AdasOptimizer | imagenette | |
|---|---|---|
| 2 | 9 | |
| 85 | 877 | |
| - | 0.0% | |
| 5.8 | 0.0 | |
| over 3 years ago | over 1 year ago | |
| C++ | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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.
AdasOptimizer
Posts with mentions or reviews of AdasOptimizer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-15.
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[R] AdasOptimizer Update: Cifar-100+MobileNetV2 Adas generalizes with Adas 15% better and 9x faster than Adam
I think too, I was comfortable with posting this because it was the same code for each optimizer. https://github.com/YanaiEliyahu/AdasOptimizer/blob/master/misc/cifar-100-mobilenetv2/model_with_training.py.txt if you care to find what I did wrong, go for it.
- Optimizer obsoletes step-size scheduling, 100% on MNIST's training set 11 epochs
imagenette
Posts with mentions or reviews of imagenette.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-21.
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[P] Graph path traversal with semantic graphs
This idea isn't exclusive to text, the same can be done for images. See this example from the imagenette dataset.
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Ask HN: In 2022, what is the proper way to get into machine/deep learning?
FastAI has ready-to-run code that does just this. They seem to have an ImageNet package https://github.com/fastai/imagenette
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How can I download ImageNet dataset with only 20 or 30 classes?
Imagenette is a smaller subset with only 10 classes. https://github.com/fastai/imagenette
You can try this https://github.com/fastai/imagenette which is subset of the main dataset.
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[D] How can I download ImageNet dataset with only 20 or 30 classes?
Download entire imagenet and annotations. Filter out all annotations that do not contain the classes you're interested in. Consider imagenette.
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[R] Dataset for research paper
You can try Imagenette, which is a 10-class subset of ImageNet but with the same number of images per class. There are also two datasets linked in the README for increased difficulty.
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ResNet from scratch - ImageNet
If you're looking for something more bite-sized, how about Imagenette?
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[D] Tiny-Imagenet original size images
Fastai has made something like that. Does this fit the bill https://github.com/fastai/imagenette?
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[R] AdasOptimizer Update: Cifar-100+MobileNetV2 Adas generalizes with Adas 15% better and 9x faster than Adam
You don't need Imagenet to verify it really works or not, Checkout https://github.com/fastai/imagenette the fastai folks have a small subset of Imagenet, which has 3 types of the dataset, test on them. If AdasOptimizer really works it you should be able to beat their results, or at least see where it stands.
What are some alternatives?
When comparing AdasOptimizer and imagenette you can also consider the following projects:
ML-Optimizers-JAX - Toy implementations of some popular ML optimizers using Python/JAX
tiny-imagenet
DemonRangerOptimizer - Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay
pytorch-optimizer - torch-optimizer -- collection of optimizers for Pytorch
tensorflow - An Open Source Machine Learning Framework for Everyone
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Caffe - Caffe: a fast open framework for deep learning.