Power
Speed
TensorKit
Tensors. Calculus. Swift.
High-Performance Computing for Swift
TensorKit gives you the freedom to build exactly what you need. Take advantage of advanced broadcasting to handle multidimensional tensors. Customize your computing with your own nodes and operations, giving you full control over computations.
TensorKit's architecture is optimized to perform efficient computations with as little overhead as possible. Powered by the Accelerate framework and custom C++ operations, operations of any size are lightning fast.
Automatic Differentiation is integrated into operations in TensorKit, allowing effortless calculation of derivatives. TensorKit's automatic differentiation engine is built to handle complex computational graphs, backpropagating through custom operations and multiple layers seamlessly.
TensorKit's powerful and flexible framework enables developers to harness the potential of machine learning, data science, scientific computing, and more. Whether you're building custom neural networks, running high-performance computations, or diving into data-driven analytics, TensorKit delivers the tools you need for success in a wide variety of fields.
Build custom neural networks, run optimized backpropagation, and integrate automatic differentiation to streamline your ML workflows. TensorKit's high-performance framework gives you control over your layers, operations, and optimizers while providing seamless support for broadcasting and custom operations.
Efficiently manipulate large datasets and run fast computations on matrices and tensors with TensorKit's optimized operations. Use automatic differentiation to streamline gradient-based optimization methods and enjoy blazing-fast performance for your data-driven models.
Perform high-speed simulations, complex matrix manipulations, and advanced numerical calculations. TensorKit's tensor-centric operations and automatic differentiation can help power research projects and applications across fields such as physics, engineering, and computational biology.
TensorKit's intuitive interface and powerful capabilities make it an ideal framework for educational and research environments. Whether you're a student learning about machine learning or a researcher developing novel algorithms, TensorKit provides the tools you need for experimentation and discovery.
Take advantage of TensorKit's updated softmax gradient calculation, which no longer generates a jacobian matrix, making softmax run faster than ever with acclerated C++ functions.