Metadata-Version: 2.4
Name: torchquery
Version: 2.1.0
Summary: High-performance SDC detection and neural healing for billion-scale tensors.
Home-page: https://github.com/powerofaisinstudy-debug/torchquery
Author: Sundaram Gupta
Author-email: Sundaram Gupta <your-email@example.com>
Project-URL: Homepage, https://github.com/powerofaisinstudy-debug/torchquery
Project-URL: Bug Tracker, https://github.com/powerofaisinstudy-debug/torchquery/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch>=1.9.0
Requires-Dist: numpy
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

<p align="center">
  <img src="https://raw.githubusercontent.com/powerofaisinstudy-debug/torchquery/main/tch.png" width="600" alt="TorchQuery Logo">
</p>" width="600" alt="TorchQuery Logo">


# TorchQuery 🚀

**TorchQuery** is a high-performance, vectorized engine built on top of PyTorch. It is designed for **Billion-Scale Neural Healing** and advanced tensor manipulation without using Python loops.

Created by **Sundaram Gupta**.

## Installation
```bash
pip install torchquery
