flask-unsign name-that-hash subprocess (incluido en la biblioteca estándar de Python) platform (incluido en la biblioteca estándar de Python) tkinter (Opcional para el GUI) numpy (Opcional para el GUI) Instalación Clona el repositorio: git clone https://github.com/grisuno/LazyOwn.git cd ...
User-Friendly Interface: A simple and interactive web design for smooth user experience. Technology Stack Backend: Python: For handling story logic and integrating the LLM. Flask: For hosting the webapp. Frontend: HTML/CSS/JavaScript to build the user interface. Installation and Setup Prerequisites:...
name:poetry-depsbuildsystem:simplebuild-commands:-pip3 install --no-index --find-links="file://${PWD}" --prefix=${FLATPAK_DEST}bidict blinker brotli certifi cffi charset-normalizer click colorama cython dnspythoneventlet exceptiongroup flask flask-compress flask-socketio gevent gevent-websocketgreen...
This week at the Openstack Developers Summit we are excited to showcase how Canonical with IBM, Mesosphere, Skymind and Data Fellas are working together to make the opportunities of deep learning easier for everyone to access. Deep learning is a complete
C# Tutorials – Create a simple Pong Game in Windows Forms and Visual Studio C# Tutorial – How to change data between forms in Visual Studio C# Tutorial – How to load images from URL to a Picture Box JavaScript Tutorial – Create a Simple Word Shuffle Typing Game...
[👉] Deploy simple Flask/Streamlit apps for demonstrating model predictions. [👉] Explore time-series basics (trend, seasonality) and moving averages. [👉] Manage large files or moderate big data workflows with chunking in pandas. [👉] Critically assess model drift over time (when data ...
Much like a flask app, we now have a python file that is configured to upload a lambda function with the nametest_lambadain your AWS account in theus-east-1region (since that is the default), and the handler will be set tolamda.tune, again the default. ...
[👉] Deploy simple Flask/Streamlit apps for demonstrating model predictions. [👉] Explore time-series basics (trend, seasonality) and moving averages. [👉] Manage large files or moderate big data workflows with chunking in pandas. [👉] Critically assess model drift over time (when data ...