Metadata-Version: 2.0
Name: tensorop
Version: 0.0.7
Summary: Pytorch wrapper for fast prototyping
Home-page: https://github.com/prajjwal1/tensorop
Author: Prajjwal Bhargava
Author-email: prajjwalin@pm.me
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Development Status :: 4 - Beta
Description-Content-Type: text/markdown
Requires-Dist: numpy

# tensorop
<img style="float: centre;" src="tensorop_logo.png">

[![PyPI version](https://badge.fury.io/py/tensorop.svg)](https://badge.fury.io/py/tensorop) 

A Library which contains handy modules for convenience in Machine Learning and improved Kaggle support. Based on Pytorch. It's currently under development. Same API as Pytorch and Numpy. Main aim is to bring all functionalities that DL frameworks may lack for some reason but are essentially required for research/implementation purposes.

## Installation
Installation via Pypi
```
$ pip install tensorop
```
Using with git
```
$ git clone https://github.com/prajjwal1/tensorop
$ cd tensorop
```

## Requirements
- Pytorch >= 0.4

## Components (with Docs)
- [tensor_func](https://prajjwal1.github.io/tensorop/torch_func/)
- [np_utils](https://prajjwal1.github.io/tensorop/np_utils/)
- [optimizers](https://prajjwal1.github.io/tensorop/optimizers/)
- [Training](https://prajjwal1.github.io/tensorop/train/)
- [Models](https://prajjwal1.github.io/tensorop/models/)
- [loss_function](https://prajjwal1.github.io/tensorop/loss_function/)
- [Kaggle](https://prajjwal1.github.io/tensorop/kaggle/)
- [Utilities](https://prajjwal1.github.io/tensorop/utils/)



