semvec/pypi-packages huggingface dataset:
lambkid 0.3.8
lambkid is an advance abstract from some common pyton lib, it aim to make you write python more easily and more fewer code.
License: MIT

# lambkid

lambkid is an advance lib abstract from some common use python lib. it aim to supply a more easily and more fewer code for python developer.
it will practise for life is short and I will choose python.

## install lambkid
refer to [install lambkid](https://github.com/redrose2100/lambkid/blob/master/docs/install.md)

## function of lambkid
* [csv usage](https://github.com/redrose2100/lambkid/blob/master/docs/csv.md)(>=0.1.18)
* [sshclient](https://github.com/redrose2100/lambkid/blob/master/docs/sshclient.md)(>=0.0.6)
* [log](https://github.com/redrose2100/lambkid/blob/master/docs/log.md) (>=0.0.4)
* [cli command](https://github.com/redrose2100/lambkid/blob/master/docs/cli.md)(>=0.1.8)
AdaptFTIR 0.1.0
Domain adaptation for FTIR spectra
License: MIT

# AdaptFTIR

## Description
This repository contains a Python implementation of the AdaptFTIR method described in the paper entitled "**Title**" (doi url).

## Installation
The package is available via PyPI:
```bash
pip install AdaptFTIR
```

## Usage
For detailed information on how to initialize the AdaptFTIR method and configure its parameters, please refer to the `example_usage.ipynb` Jupyter Notebook and the code documentation in the `AdaptFTIR.py` file. The basic usage format is as follows:
```python
from AdaptFTIR import AdaptFTIR

# Initialize an instance of AdaptFTIR with a calibration set
adapter = AdaptFTIR(spectra=<your_spectra_to_augment>,
              subject_ids=<your_subject_ids_for_spectra_to_augment>,
              calibration_set=<your_calibration_set>,
              calibration_ids=<your_calibration_set_subject_ids>)

# Create synthetic samples based on an input set of training samples X and associated sample labels y
X_gen, y_gen = AdaptFTIR.run(n_per_subject_id=<your_n_per_subject_id>)

```

## Citation
> Citation goes here