Tensor library for machine learning
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Updated
Aug 28, 2024 - C++
Tensor library for machine learning
Gorgonia is a library that helps facilitate machine learning in Go.
Source-to-Source Debuggable Derivatives in Pure Python
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
Self-contained Machine Learning and Natural Language Processing library in Go
automatic differentiation made easier for C++
21st century AD
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
High-performance automatic differentiation of LLVM and MLIR.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
A JavaScript library like PyTorch, with GPU acceleration.
Forward Mode Automatic Differentiation for Julia
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
A simple library for creating complex neural networks
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
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