Eigen
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Explore more → **Eigen**
What is Eigen?
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. It is commonly used in scientific computing, robotics, computer vision, and machine learning applications requiring efficient and reliable linear algebra operations.
What other technologies are related to Eigen?
Eigen Competitor Technologies
NumPy
NumPy is a Python library for numerical computing, providing similar linear algebra capabilities as Eigen, but in Python.
PyTorch
PyTorch is a machine learning framework that includes tensor operations and linear algebra capabilities, serving as a competitor to Eigen, especially in machine learning contexts.
TensorFlow
TensorFlow is a machine learning framework that includes tensor operations and linear algebra capabilities, thus competing with Eigen in some contexts, especially machine learning applications.
Number of organizations that mention technology
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Eigen Complementary Technologies
PCL
PCL is a point cloud library often used with Eigen for linear algebra operations on point cloud data.
Ceres
Ceres is a large scale optimization library, and it can be used with Eigen for linear algebra.
Boost
Boost provides a wide range of C++ libraries, some of which complement Eigen's functionality (e.g., Boost.Geometry).
Number of organizations that mention technology
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Which job functions commonly mention Eigen?
Robotics Engineer
0.3% of all Robotics Engineer jobs mention Eigen
View 15
jobs on Sumble
Machine Learning
38 Machine Learning jobs mention Eigen
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jobs on Sumble
CAD Designer
18 CAD Designer jobs mention Eigen
View 18
jobs on Sumble
Software Engineer
439 Software Engineer jobs mention Eigen
View 439
jobs on Sumble
Engineer
568 Engineer jobs mention Eigen
View 568
jobs on Sumble
Which organizations are mentioning Eigen?
Johns Hopkins University Applied Physics Laboratory
Manufacturing
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