semvec/pypi-packages huggingface dataset:
crimson-tracer-beta-example 0.1.2
Your package description.
Requires Python: >=3.9

## Install

``` sh
pip instal crimson-tracer-beta
```

## Example

### Tracer

`TraceManager` collects all the called functions with useful information. <br/>
The information includes the inputs to the called functions.

[tracer.ipynb](./example/tracer.ipynb)

### Node

Convert the traced result into a tree if you want a nested structure.

[node.ipynb](./example/node.ipynb)
UniParse 1.0.1
A library to parse PDF, DOCX, and TXT files
Requires Python: >=3.8
Keywords: parse parser pdf docx txt uniparse uniparser

# UniParse

A Python library to parse PDF, DOCX, and TXT files, now with resume summarization capabilities.

## Installation

```bash
pip install UniParse
```

## How to Use
```python
from UniParse import FileParser

parser = FileParser('path/to/your/file.pdf')
content = parser.parse()
print(content)
```

## Features
- Parse text from PDF files
- Extract content from DOCX documents
- Read text from TXT files

### Parsing Resumes and Extracting Information

```python
from UniParse import ResumeParser

parser = ResumeParser('path/to/resume.pdf')
data = parser.get_extracted_data()

print("Resume Data:")
print(data)
glest 0.0.1a1
Estimate the grouping loss of your probabilistic classifiers.
Requires Python: >=3.7

# glest: Estimation of the grouping loss of a probabilistic classifier

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/aperezlebel/glest.git/HEAD?labpath=examples%2Fexample.ipynb)
[![codecov](https://codecov.io/gh/aperezlebel/glest/graph/badge.svg?token=KPDTI0WGUT)](https://codecov.io/gh/aperezlebel/glest)
[![CI](https://github.com/aperezlebel/glest/actions/workflows/ci.yml/badge.svg)](https://github.com/aperezlebel/glest/actions/workflows/ci.yml)


## Install

From PyPi:
```
pip install glest
```

From source:
```
pip install git+https://github.com/aperezlebel/glest.git
```

## Cite

```bibtex
@inproceedings{perez-lebel2023,
    title={Beyond calibration: estimating the grouping loss of modern neural networks},
    author={Alexandre Perez-Lebel and Marine Le Morvan and Gaël Varoquaux},
    booktitle={Proceedings of the International Conference on Learning Representations},
    year={2023},
    url={https://doi.org/10.48550/arXiv.2210.16315}
}
```