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Some time ago I did some improvements to the multimode network plugins:
1. Better progress bar, that was also progressing during matrix computation
2. Possibility to filter out edges under a given …
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The atomic convolutions currently take in an entire protein-ligand complex. This makes working with them very gnarly since proteins get large (tens of thousands of atoms easily). Since the coordinates…
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## TO-DO
### Unit 1: Introduction
- [x] Lecture 1: Algorithmic Thinking, Peak Finding
- [x] Lecture 2: Models of Computation, Document Distance
- Exercise 1:
- [x] [quiz](https://www.khanacade…
hon9g updated
5 years ago
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Hi,
I am using the `RunTSNE` function from Seurat which calls `Rtsne`. I am analysing hashtag antibody data and have generated a distance matrix as input to tSNE.
```
hto_dist_mtx
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*Tyler TODO*
See screenshots attached.
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Hi there, looks like a really promising library!
Have you consider implementing the algorithms in terms of core.matrix (https://github.com/mikera/core.matrix)?
This would give a few advantages:
- Ab…
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### Describe the bug
Hi,
First of all, thanks for the great work at `aeon`.
Your implementation of DTW (`aeon.distances.dtw_distance`) differs from the one by `tslearn` (`tslearn.metrics.dtw`…
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HI! Thank you for this fast and powerful package. Its concepts towards optimization are novel to DR and I really enjoyed your paper.
I have a question: is it possible to pass pre-computed kNN dista…
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Hi, it's me agian.
I got a list of filter scales, ranging from 3km to 150km. With the increase of filter scale, the area of convolution calculation increases, and so does the calculation time. If I s…
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When the numpy random seed is set to [unlucky number 13](https://en.wikipedia.org/wiki/Triskaidekaphobia), this code snippet:
```python
from pynndescent import NNDescent
X = np.load("X.npy")
np.…