OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Scribbler JavaScript Notebook
Math.js
Jupyter
Livebook
Nodebook
Weblab.ai
RunKit
iodide
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OpenCV is the world's largest open-source computer vision library, supported by the non-profit organization, Open Source Computer Vision Foundation. It offers a wide range of algorithms that cover a variety of tasks, from basic image processing to advanced object recognition and motion analysis. - Source: dev.to / 7 months ago
Google's Gemini and other multimodal models also fit here, especially for mixed-input apps. James Allsopp, Founder of Ask Zyro, suggests, "For anything involving images or mixed inputs, tools like Claude 3 Opus (great for handling long context) or Google's Gemini can work well, depending on what you need for your user interface." These frameworks excel in scenarios requiring visual understanding, such as augmented... - Source: dev.to / 11 months ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isnโt just a tool, itโs a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that donโt just interpret visuals, but... - Source: dev.to / about 1 year ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 1 year 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 / over 1 year ago
Using its API, you can run simulations for heat conduction, front propagation, or even solve a general-form partial differential equation. And you can do all of this directly in your browser (for web apps), in a Node.js environment, or on interactive JavaScript notebooks such as Scribber. - Source: dev.to / 9 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Math.js - Math.js is an extensive math library for JavaScript and Node.js.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
NumPy - NumPy is the fundamental package for scientific computing with Python
Livebook - Automate code & data workflows with interactive Elixir notebooks