Streamlit
Anvil.works
Recut
Cardapio
Gradio
FastAPI
Whisker menu
GnoMenu
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
StreamlitBased on our record, Streamlit should be more popular than NumPy. It has been mentiond 181 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this tutorial, you will learn how to set up a Streamlit application, integrate OpenAI Whisper for real-time podcast transcription, and deploy the application using Docker and Koyeb, creating a scalable transcription service. - Source: dev.to / 1 day ago
What I wound up building is a Streamlit app that uses qdrant to index and search data extracted from a collection of pdf document. The app is a simple chat interface where you can ask questions about the data and get responses from a mixture of GPT-4 and the indexed data. - Source: dev.to / about 2 months ago
You'll use some amazing tools to make this happen. Streamlit will help you create a friendly and interactive interface; Phidata will handle your data; OpenAI's GPT-4 will provide smart conversational abilities; and Google Search-Results will fetch the best travel options. Together, these tools will allow you to build smart, responsive AI to plan your trips as if you had a personal travel guardian. - Source: dev.to / 21 days ago
UI: Streamlit for creating an interactive and user-friendly interface. - Source: dev.to / 23 days ago
Streamlit - quickly creates web UI from Python without much frontend skills, great for POCs (Streamlit API Reference). - Source: dev.to / 30 days ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 19 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 20 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 25 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 27 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
Anvil.works - Build seriously powerful web apps with all the flexibility of Python. No web development experience required.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Recut - Edit silence out of videos automatically
OpenCV - OpenCV is the world's biggest computer vision library
Cardapio - Cardapio is an application menu that can work in two modes: as a panel applet (in which case it is...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
