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        "description": "# Kekas\n\n![](imgs/logo.png)\n\nKek it easy.\n\nKekas is a simple tool for training neural networks on Pytorch.\n\nI tried to keep it as simple as possible.\n\n# Installation\n\n`pip install kekas`\n\n## Mixed Precision requirements\n\nKekas use https://github.com/NVIDIA/apex library for mixed precision training, so follow the installation instructions from its repo.\n\n# Features\n\n- Awesome name\n- Mixed Precision (FP16)\n- Learning Rate Finder\n- One Cycle policy\n- Tensoboard logging\n- Best checkpoints saving\n- Early stopping\n- TTA\n- Freeze / unfreeze\n- Easy customization\n\n# Quick start guide\n\nI don't beieve in quick start guides, I think that they create more questions\nthan answers.\n\nInstead, 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)\n\n# Contribution guide\n\nJust contribute something good and don't contribute anything bad.\n\n# Citing\nIf you find this library useful for your research, please consider citing:\n```\n@misc{aleksandr belskikh_2019,\n    author      = {Aleksandr Belskikh},\n    title       = {{kekas: Just another DL library}},\n    month       = oct,\n    year        = 2019,\n    doi         = {10.5281/zenodo.2577861},\n    version     = {0.1.20},\n    publisher   = {Zenodo},\n    url         = {https://doi.org/10.5281/zenodo.2577861},\n    }\n\n```\n\n[![DOI](https://zenodo.org/badge/144457787.svg)](https://zenodo.org/badge/latestdoi/144457787)",
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