semvec/pypi-packages huggingface dataset:
kekas 0.1.23
Just another DL library.
License: MIT
Requires Python: >=3.6.0

# Kekas

![](imgs/logo.png)

Kek it easy.

Kekas is a simple tool for training neural networks on Pytorch.

I tried to keep it as simple as possible.

# Installation

`pip install kekas`

## Mixed Precision requirements

Kekas use https://github.com/NVIDIA/apex library for mixed precision training, so follow the installation instructions from its repo.

# Features

- Awesome name
- Mixed Precision (FP16)
- Learning Rate Finder
- One Cycle policy
- Tensoboard logging
- Best checkpoints saving
- Early stopping
- TTA
- Freeze / unfreeze
- Easy customization

# Quick start guide

I don't beieve in quick start guides, I think that they create more questions
than answers.

Instead, I've created a detailed [Tutorial notebook](Tutorial.ipynb). Read it.[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/belskikh/kekas/blob/master/Tutorial.ipynb)

# Contribution guide

Just contribute something good and don't contribute anything bad.

# Citing
If you find this library useful for your research, please consider citing:
```
@misc{aleksandr belskikh_2019,
    author      = {Aleksandr Belskikh},
    title       = {{kekas: Just another DL library}},
    month       = dec,
    year        = 2019,
    doi         = {10.5281/zenodo.2577861},
    version     = {0.1.23},
    publisher   = {Zenodo},
    url         = {https://doi.org/10.5281/zenodo.2577861},
    }

```

[![DOI](https://zenodo.org/badge/144457787.svg)](https://zenodo.org/badge/latestdoi/144457787)