H2O.ai
datarobot
TensorFlow
RapidMiner
Scikit-learn
Dataiku
Keras
Open Text Magellan
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
WEKA
H2O.ai OpenCVH2O.ai's answer
At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.
Based on our record, OpenCV seems to be a lot more popular than H2O.ai. While we know about 59 links to OpenCV, we've tracked only 3 mentions of H2O.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.
Artificial Intelligence (AI) is becoming a ubiquitous, and dare I say, indispensable part of data workflows. Tools like ChatGPT have made it easier to review data and write reports. But diving even deeper, tools like DataRobot, H2O.ai, and Google’s AutoML are also simplifying machine learning pipelines and automating repetitive tasks, enabling professionals to focus on high-value activities like model optimization... - Source: dev.to / 5 months ago
Open-Source AI Frameworks: Open-source tools like TensorFlow, PyTorch, and H2O.ai allow developers to build and share AI models. These frameworks are freely available, fostering collaboration and innovation within the AI community. - Source: dev.to / 6 months ago
How about H2O? It's supposed to be significantly faster than Nginx: https://h2o.examp1e.net/. - Source: Hacker News / about 4 years ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 6 days ago
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 4 months ago
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 6 months ago
This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 7 months ago
First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed. - Source: dev.to / 7 months ago
datarobot - Become an AI-Driven Enterprise with Automated Machine Learning
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
NumPy - NumPy is the fundamental package for scientific computing with Python
