semvec/pypi-packages huggingface dataset:
mge-lpips 0.1.0
LPIPS Similarity Metric for MegEngine
Requires Python: >3.5.0

# LPIPS for MegEngine

MegEngine port for [LPIPS](https://github.com/richzhang/PerceptualSimilarity) metric.

## Get Started

Run `pip3 install mge-lpips` to install this package. The provided `mge_lpips.LPIPS` is a normal MegEngine `M.Module` which can be used as a metric or a loss function.

```python
import numpy as np
import megengine as mge
from mge_lpips import LPIPS

metric_lpips = LPIPS(net="alex")

in1 = np.random.uniform(-1, 1, size=(2, 3, 256, 256)).astype(np.float32)
in2 = np.random.uniform(-1, 1, size=(2, 3, 256, 256)).astype(np.float32)

d = metric_lpips(mge.Tensor(in1), mge.Tensor(in2))
```


## Acknowledgements

The code of this project is modified from the original LPIPS project. The backbone model code is modified from torchvision.
The weights are from the origian LPIPS project and torchvision.
lefse 1.1.2
LEfSe determines the features (organisms, clades, operational taxonomic units, genes, or functions)     most likely to explain differences between classes by coupling standard tests for statistical significance with additional tests encoding     biological consistency and effect relevance.

**LEfSe**
==============

LEfSe (Linear discriminant analysis Effect Size) determines the features
(organisms, clades, operational taxonomic units, genes, or functions)
most likely to explain differences between classes by coupling standard
tests for statistical significance with additional tests encoding
biological consistency and effect relevance.

LEfSe is available as a [Galaxy module](http://huttenhower.org/galaxy/),
a Conda formula, a Docker image, and included in bioBakery (VM and
cloud). For additional information, please refer to the [LEfSe
paper](http://www.ncbi.nlm.nih.gov/pubmed/21702898).

## Installation

LEfSe can be installed with Conda or run from a Docker image. Please
note, if you are using bioBakery (Vagrant VM or cloud) you do not need
to install LEfSe because the tool and its dependencies are already
installed.

Install with Conda: `$ conda install -c bioconda lefse`

Install with Docker: `$ docker run -it biobakery/lefse bash`

LEfSe requires R v. 3.6 or higher and the R libraries survival, mvtnorm, modeltools, coin, MASS. 

We provide support for LEfSe users. Please join our [bioBakery Support Forum](https://forum.biobakery.org/c/Downstream-analysis-and-statistics/LEfSe) designated specifically for LEfSe users.
auto-wizard101 1.0.4
Automatically complete repetitive tasks in wizard101.
Requires Python: >=3.6

# auto-Wizard101

This package provides utilities to help automate processes within Wizard101.
So far, the only supported automation is the auto-completion of the pet dance game.
See that example [here](https://github.com/GabeMillikan/auto-wizard101/blob/main/examples/autodance.py).