{"repo":"DIYer22/boxx","free":true,"listed":false,"github":"https://github.com/DIYer22/boxx","clone":"git clone https://github.com/DIYer22/boxx.git","description":"Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.","language":"Python","stars":515,"topics":["debug","toolbox","computer-vision","scientific-computing","awesome-python","debugging","hack","pytorch","pytorch-debug","deep-learning"],"license":null,"category":"machine-learning","readme_excerpt":"Language : Box-X Hack Python and Vision A Tool-box for Efficient Build and Debug in Python. Especially for Scientific Computing and Computer Vision . ### Introduce Install Tutorial Examples Acknowledgments Code with ❤︎ by DIYer22 and contributors --- 1. Introduce Box-X is a Tool-box for Efficient Build and Debug in Python. Especially for Scientific Computing and Computer Vision . So, all Tools are divided into 2 parts by wether the tool is general used: General Python Tool : Tools could be used anywhere in Python Scientific Computing and Computer Vision Tool : Those tools are useful in Scientific Computing and Computer Vision field P.S. boxx supports both Python 2/3 on Linux macOS Windows with CPython IPython Spyder Notebook environment. 2. Install 3. Tutorial Box-X 's Tutorial is a Jupyter Notebook file There are 3 methods to run or view this Notebook file Method 1: Executable Interactive Online Notebook We use Binder to run Tutorial Notebook in an executable interactive online jupyer environment. That's mean you can run code in notebook rightnow in your browser without download or install anything. = Executable Interactive Online Tutorial Method 2: Download and Run at Local Then open ./tutorial for boxx.ipynb in notebook. Method 3: Static Noetbook Just view the Tutorial Notebook. = Static Tutorial 4. Examples Examples are divided into 2 parts too. General Python Tool on left, Scientific Computing and Computer Vision Tool on right. 💡 Note: Click the image will see more clea","default_branch":null,"files":null,"tree":[],"storefront":"/r/DIYer22","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/DIYer22/boxx/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}