Leanbe.ai
productboard
Roadmap
Canny
Poda
Waymark
AnnounceKit
ProductFlare
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Have you ever built a product feature that simply didn't meet your users' expectations or real needs? We have, too. That's why we created Leanbe. It is a smart tool covering all the 3 steps in the product development cycle: feedback collection, roadmap generation and user notification. Thus the full loop of data collection, analysis and planning the future actions is based on a data-driven and user-oriented approach. Leanbe is a platform that helps collect feedback & feature requests, generate a roadmap & notify users about releases and updates.
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Based on our record, NumPy seems to be a lot more popular than Leanbe.ai. While we know about 112 links to NumPy, we've tracked only 7 mentions of Leanbe.ai. 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.
A lot of times here in this subreddit we talked about Beupify and finally me, with the team worked on your feedback and we would have absolutely different and new website just in 2 weeks. I am here to ask you again for feedback as there is left not that much time so we can implement other suggestions as well. For the ones who are not familiar with the tool, I would love to mention that it was only a tool to... Source: about 3 years ago
If it's not against the tools of the subreddit - you can check the website and give me some advice if possible. Source: about 3 years ago
Guys, you were writing me about the startup - here is it https://beupify.com/. Source: about 3 years ago
You can check out the tool, and ping me if you have any questions! Source: about 3 years ago
Here are some tips that helped us to scale our business. P.S The tool is Beupify which is an all-in-one solution for the release notes :). Source: over 3 years 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
productboard - Beautiful and powerful product management.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Roadmap - Collision avoidance for projects and people
OpenCV - OpenCV is the world's biggest computer vision library
Canny - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.