semvec/pypi-packages huggingface dataset:
malac-models-fhir 1.1.4
MaLaC FHIR Models
Requires Python: >=3.10

# MaLaC FHIR Models

MaLaC-HD (MApping LAnguage Compiler for Health Data) is a tool that you can use to convert mappings between different health data formats to executable code. It can also be used as a library to dynamically execute mappings.

This is the FHIR models package to read or write JSON or XML serialized FHIR resources. You can use it independently from the `malac-hd` package, together with the `malac-tools` package to execute mappings.

[TOC]

## Contributing and Support

Please read [CONTRIBUTING.md](CONTRIBUTING.md) for contributing to cdeHealth projects which are hosted in the [cdeHealth group](https://gitlab.com/cdehealth) on GitLab.com.
Please read [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md) to make participation in our community a harassment free experience for everyone.

## License
TODO
itgeeker 0.2.7
Build by ITGeeker.net
Requires Python: >=3.12

# Pioneers in the information age!
### 信息时代弄潮儿! 技术奇客的工具箱
-- by [ITGeeker.net](https://www.itgeeker.net)

###########################################################################
#    Copyright 2026 奇客罗方智能科技 https://www.geekercloud.com
#    ITGeeker.net <alanljj@gmail.com>
###########################################################################

## Update log:

2025-11-06 v0.2.7
1. Add import excel head name list.

2025-11-06 v0.2.6
1. Add Chinese ID check function, fixed former bug.
2. Add convert number to Chinese RMB.
lisabeta_lalsuite 1.2.0
Part of the lisabeta package. The code in this repository was modified from LALsuite, and is distributed under the GPLv2 license. For more details, see LICENSE.
Requires Python: >=3.10

# lisabeta_lalsuite

Copyright (C) 2019 Sylvain Marsat, John G. Baker.
All rights reserved.

The code in this repository was modified from LALsuite, and is distributed under the GPLv2 license. For more details, see LICENSE.

This is not an autonomous package, and requires the structures of the lisabeta code at:
https://gitlab.in2p3.fr/marsat/lisabeta
automated-neural-adapter-ANA 7.6.2
Automated Neural Adapter (ANA)
Requires Python: >=3.10


# ANA – Automated Neural Adapter

ANA is a lightweight tool that makes fine-tuning AI models with LoRA simple and beginner-friendly.
It provides a ready-to-run GUI, so you don’t need to mess with complicated scripts.


![Logo](https://i.postimg.cc/g0Gfr5B5/logo-ana-sh.png))


## Installation

Install directly from PyPI:

```bash
  pip install ana
```
    
## Features

Automated LoRA fine-tuning workflow

Simple one-command GUI launch

Runs out of the box on Windows

No complicated setup required



## Requirements

Python 3.10 or newer

Windows (Linux/Mac support coming soon)

For the best performance, install a CUDA-enabled PyTorch build that matches your GPU.
Without CUDA, training will run only on CPU, which is much slower.

## Usage/Examples
After installation, simply run:
```bash
    python -m ana
```


This will launch the GUI window where you can select your model, dataset, and training options.


## Errors & Troubleshooting

If you encounter issues installing or running, you can try the pre-built executable version here:



[Download ANA (Windows EXE)](https://drive.google.com/file/d/1jeBkmLz9x5qZMUdDthbeyDiIL4zFM4Y2/view?usp=drive_link)


## Tips

Install PyTorch with CUDA support (matching your GPU + driver) for much faster training. (Highly recommended)

If you don’t have a physical GPU, CPU training will still work, but it will be very slow.


## Authors

[Rudransh joshi](https://rudransh.kafalfpc.com/)