semvec/pypi-packages huggingface dataset:
rsmorphy-lemmatizer 0.1.7
Simple class for lemmatize (word normal form) russian words, based on rsmorphy. Support scikit-learn transformer interface.
Requires Python: <3.14.0,>=3.8

# RSMorphy Lemmatizer

This is simple package for lemmatize (word normal form) russian words.
Package based on rsmorphy: https://github.com/g-alexander/rsmorphy

## Installation
```bash
pip install rsmorphy_lemmatizer --upgrade
```

## Usage
```python
from rsmorphy_lemmatizer import RSMorphyTransformer

transformer = RSMorphyTransformer()
test_strings = [
    "Мама мыла раму"
]
print(transformer.transform(test_strings))

# Output: ['мама мыло рам']
```

for multithread transform:
```python
transformer = RSMorphyTransformer(n_jobs=3)
```

to back to single thread:
```python
transformer.to_single_thread()
```
neuralgcm 1.2.2
Neural General Circulation Models for Weather and Climate
Requires Python: >=3.10

![](https://github.com/neuralgcm/neuralgcm/raw/main/docs/_static/neuralgcm-logo-light.png)

# Neural General Circulation Models for Weather and Climate

NeuralGCM is a Python library for building hybrid ML/physics atmospheric models
for weather and climate simulation.

- **[Paper](https://arxiv.org/abs/2311.07222)**
- **[Documentation](https://neuralgcm.readthedocs.io/)**
- **License**:
    - Code: [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)
    - Trained model weights: [Creative Commons Attribution-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/).

To stay up to date on NeuralGCM, **[subscribe to our mailing list](https://groups.google.com/g/neuralgcm-announce)**!