semvec/pypi-packages huggingface dataset:
CRM-tensorflow 0.1.6
A non-official implementation of the Complex Ratio Mask (CRM) technique as a Tensorflow layer.
Requires Python: >=3.6


# A non-official implementation of the Complex Ratio Mask (CRM) technique as a Tensorflow layer.

Implementation of the the Complex Ratio Mask (CRM) technique used in ["DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement"](https://arxiv.org/abs/2008.00264).

## Installlation
```bash
pip install CRM_tensorflow
```
## Usage
```python
import tensorflow as tf 
from CRM_tensorflow import ComplexRatioMask

# Input parameters
time_dim = 100
freq_dim = 257
batch_size = 100

# Define layer
crm_layer = ComplexRatioMask(masking_mode='E') # Other modes include 'C' and 'R'. See paper for more information.

# Random noisy signal split in real and imag. components
random_spectrogram_real = tf.random.normal((batch_size,time_dim, freq_dim))
random_spectrogram_imag = tf.random.normal((batch_size,time_dim, freq_dim))

# Random complex mask split in real and imag. components
random_mask_real = tf.random.normal((batch_size,time_dim, freq_dim))
random_mask_imag = tf.random.normal((batch_size,time_dim, freq_dim))

enhanced_speech_signal = crm_layer(random_spectrogram_real, random_spectrogram_imag, random_mask_real, random_mask_imag)

```
cosine-similarity-cython 0.1.1
A package to compute cosine similarity between vectors
Requires Python: >=3.6

# Cosine Utils

This package provides a utility to compute cosine similarity between vectors as a percentage. It's implemented using Cython for better performance.

## Installation

You can install it via pip:

```bash
pip install cosine_utils

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
SBGeom 0.0.6
Python package for creating stellarator geometry
Requires Python: >=3.8

# SBGeom

SBGeom is a package for creating parametric stellarator geometry from VMEC files and filament coils. 


Current features:

- Flux surfaces position including beyond the last closed flux surface
- Constant $\phi$ radial extension from last closed flux surface
- Discrete and fourier coils position and tangent
- Meshing of surfaces inside the plasma
- Meshing of surfaces outside the plasma by specifying a distance from the last closed flux surface
- Fourier transforming surfaces outside the plasma using equal-arclength parametrisation and non-equidistant surfaces
- Finite build coils using rotation-minimized frames
- Fourier transforming discrete coil filaments using equal-arclength parametrisation
- Meshing of watertight surfaces
- Meshing of layered geometries using tetrahedrons

Documentation at the moment only available at  https://s1668021.pages.tue.nl/sbgeom_v2/index.html (requires TU/e account).

## Installation

### Linux

Linux wheels are available on PyPi:

```
pip install sbgeom
```

For manual compilation, see below. 

### Windows and MacOS

No wheels are available. Compilation can be done by first cloning Eigen3 and setting the environment variable as :

```
git clone https://gitlab.com/libeigen/eigen.git
export EIGEN3_INCLUDE_DIR=$PWD/eigen/
```

Nanobind is used for binding generation:

``` 
pip install nanobind
```

Some C++20 features are used, so a compatible compiler is required. Then, install using 

```
pip install .
```

## TODO

This package was developed solely to satisfy the requirements I had at that time, and thus, some desirable features are not present.
Some features that could be especially useful include:

- Ports, divertors, intra-coil support structures
- Automated DAGMC conversions
-
PyCO2stats 0.1.1
A package for statistical analysis and plotting in the context of CO2 data
Requires Python: >=3.7

[![Documentation Status](https://readthedocs.org/projects/pyco2stats/badge/?version=latest)](https://pyco2stats.readthedocs.io/en/latest/)

# pyco2stats

A Python package to do statistical analyses for CO2 degassing processes.

## Features

 - Gaussian mixtures: module that implements the possibility to perform gaussian mixtures models.
 - Sinclair: module for the implementation of the Sinclair method.
 - Stats: various statistical methods.
 - Visualize: visualization module.

## Installation

pyco2stats can be installed using pip:

pip install pyco2stats
MSpypi 1.0
Un package python pour les opérations mathématiques courantes



# MSI

Un package Python pour les calculs mathématiques courants



## Documentation

Pour accéder à la documentation de `MSI`, cliquez sur le lien suivant :

[Documentation MSI](https://stagee.readthedocs.io/en/latest/)

Merci d'avoir utilisé MSI ! Nous espérons qu’il vous