mnist_1_pt_2
1.2% test error on MNIST using only least squares and numpy calls. (by benjamin-recht)
umap_paper_notebooks
Notebooks in support of the UMAP paper (by lmcinnes)
| mnist_1_pt_2 | umap_paper_notebooks | |
|---|---|---|
| 1 | 1 | |
| 16 | 41 | |
| - | - | |
| 5.3 | 10.0 | |
| 9 months ago | over 2 years ago | |
| Python | Jupyter Notebook | |
| GNU General Public License v3.0 only | 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.
mnist_1_pt_2
Posts with mentions or reviews of mnist_1_pt_2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-20.
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Show HN: 78% MNIST accuracy using GZIP in under 10 lines of code
ben recht's kernel method implementation in 10 lines hits 98%
https://github.com/benjamin-recht/mnist_1_pt_2/tree/main
umap_paper_notebooks
Posts with mentions or reviews of umap_paper_notebooks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-20.
-
Show HN: 78% MNIST accuracy using GZIP in under 10 lines of code
In fairness you can run MNIST through UMAP and get near perfect seperation. I'm of the belief that you have to try pretty hard not to do well on MNIST these days.
https://github.com/lmcinnes/umap_paper_notebooks/blob/master...
What are some alternatives?
When comparing mnist_1_pt_2 and umap_paper_notebooks you can also consider the following projects:
label-errors - 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet
mono - monorepo for personal projects, experiments, ..
hlb-CIFAR10 - Train CIFAR-10 in <7 seconds on an A100, the current world record.