semvec/pypi-packages huggingface dataset:
open-quant-data 0.3.2
open quant data

# OPEN-QUANT-DATA

## Introduction
This is open source quant framework for local dataset generation
, third-party dataset api analysis, and quant data statistics

## Features
### Local Dataset
This feature need support from `open-quant-spider`, by
reading the data recording by `open-quant-spider` from 
Mysql or Redis. The framework export the dataset as csv 
files
### ThirdParty Dataset
Sometimes we may have insufficient data from local recording, 
so we plan to support third-party data sources. Currently, 
we support `Akshare` and `Xtquant + MiniQMT`, which includes
stock, bond, etf, in-market fund history data with multi formats.
### Statistics
The core statistics module's aim is to do factor statistics and
dataset utils. 
## Install & Run

## Contributors

## Bug Report
pic2prose 0.0.2
Enables real-world data collection, bridges the gap between OCR and NLP, enabling you to convert text from any image to ready to use nlp data structures.
Keywords: python,images,text,nlp,natural,language,lexicon


# pic2prose
A package that can take in images and build a corpus and produce nlp datastructures for direct use in experimentation and model training.

Take any image with text, use p2p to generate NLP datastructures ready for use in fine-tuning LLM's, generating embeddings, sentiment classification, etc.

# Installation
```
pip install pic2prose
```

Open up your favorite editor, import, and build a robust corpus.
```
from pic2prose.structures import *

# initialize the object
# may take longer if you're not using a GPU
corpus = Corp(image_path="ex1.png")

# generate co-occurrence matrix
corpus.get_co_occurrence_matrix()

# generate tf-idf matrix
corpus.get_tfidf_matrix()

# one-hot encodings
corpus.one_hot_encode()
```

# Coming Soon
Support for building corpi from URL