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Commit e572ed01 authored by pawel rosikiewicz's avatar pawel rosikiewicz :speech_balloon:
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final corrections

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    LICENSE
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    MIT License GPL License
    Copyright (c) 2021 pawel rosikiewicz Copyright (c) 2021 Pawel Rosikiewicz
    Permission is hereby granted, free of charge, to any person obtaining a copy This program is free software: you can redistribute it and/or modify
    of this software and associated documentation files (the "Software"), to deal it under the terms of the GNU General Public License as published by
    in the Software without restriction, including without limitation the rights the Free Software Foundation, either version 3 of the License, or
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell (at your option) any later version.
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    The above copyright notice and this permission notice shall be included in all This program is distributed in the hope that it will be useful,
    copies or substantial portions of the Software. but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
    GNU General Public License for more details.
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR You should have received a copy of the GNU General Public License
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, along with this program. If not, see <http://www.gnu.org/licenses/>.
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE \ No newline at end of file
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE.
    README.md
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    ...@@ -8,8 +8,7 @@ Practical part for AMLD 2021 Workshop based on the original work of Pawel Rosiki ...@@ -8,8 +8,7 @@ Practical part for AMLD 2021 Workshop based on the original work of Pawel Rosiki
    ### Comparison of 5000 AI methods for cancer detection and classyfication on dermatoscopic images from Harvard HAM10000 dataset using FastClassAI workbench ### Comparison of 5000 AI methods for cancer detection and classyfication on dermatoscopic images from Harvard HAM10000 dataset using FastClassAI workbench
    Author: Pawel Rosikiewicz, Founder, and Team Leader at SwissAI Author: Pawel Rosikiewicz, Founder, and Team Leader at SwissAI
    License: MIT
    The goal is to quickly test and optimize large number of ml and deep learning models and dataset preprocessing procedures, that are integrated in one python enviroment with FastClassAI workebench. The goal is to quickly test and optimize large number of ml and deep learning models and dataset preprocessing procedures, that are integrated in one python enviroment with FastClassAI workebench.
    Main Goals are: Main Goals are:
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