Roboflow
Deepnote
Datature Portal
Avo
Facebook Computer Vision Tags
Xano
Palapa
Amazon SageMaker
Pandas
NumPy
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Roboflow PandasBased on our record, Pandas should be more popular than Roboflow. It has been mentiond 201 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.
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment. Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer... - Source: Hacker News / 4 months ago
Roboflow - create and deploy a custom computer vision model with no prior machine learning experience required. The free tier includes up to 1,000 free source images. - Source: dev.to / 4 months ago
Roboflow | Open Source Software Engineer, Web Designer / Developer, and more. | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0224 [2]: https://roboflow.com/universe?ref=whoishiring0224 [4]: https://github.com/roboflow/supervision [6]: https://www.youtube.com/@Roboflow. - Source: Hacker News / 5 months ago
The annotations will be completed on the [Roboflow](https://roboflow.com) platform. The compensation for this project is $0.40 per image, totaling $200 for the completion of all 900 images. Source: about 1 year ago
There is always h20 for R, but I get what you mean. If you haven't checked it out yet, Roboflow is pretty dang amazing for computer vision. Source: about 1 year ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 4 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 9 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 1 month ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 2 months ago
Deepnote - A collaboration platform for data scientists
NumPy - NumPy is the fundamental package for scientific computing with Python
Datature Portal - Portal is the fastest way to inspect your neural networks
OpenCV - OpenCV is the world's biggest computer vision library
Avo - Prevent human errors when implementing analytics
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
