Tensor library for machine learning
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Updated
Jul 25, 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.
Self-contained Machine Learning and Natural Language Processing library in Go
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
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, built from scratch.
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.
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
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