CImg
OpenCV
OpenCL
MATLAB
OpenGL
TensorFlow
Extism
SDL
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
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Scikit-learnBased on our record, Scikit-learn seems to be a lot more popular than CImg. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of CImg. 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.
It looks promising. I like the way each algorithm is explained with minimal example and demo images. I'm looking for such a lightweight vision lib to embed simple image manipulation programs on tiny ESP32-CAM boards. OpenCV seems too heavy to integrate on such small devices. So far, I've been able to develop simple image processing programs with CImg[1] (simple filtering, image cropping, adding text). I'll try to... - Source: Hacker News / 11 months ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 2 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: 12 months ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
OpenCV - OpenCV is the world's biggest computer vision library
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
OpenCL - Application and Data, Languages & Frameworks, and Language Extensions
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
NumPy - NumPy is the fundamental package for scientific computing with Python
OpenGL - OpenGL is the premier environment for developing portable, interactive 2D and 3D graphics...