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Efficiently computes derivatives of NumPy code.
python machine-learning deep-learning neural-network numpy automatic-differentiation autograd scipy derivative backpropagation differentiation numpy-arrays jax ufunc
Gorgonia is a library that helps facilitate machine learning in Go.
go golang machine-learning deep-neural-networks deep-learning neural-network automatic-differentiation artificial-intelligence computation-graph deeplearning gradient-descent hacktoberfest differentiation gorgonia symbolic-differentiation graph-computation
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
python c-plus-plus robotics kinematics dynamics automatic-differentiation conda motion-planning ros code-generation urdf rigid-body-dynamics cppad fcl casadi analytical-derivatives pinocchio
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
python machine-learning deep-learning neural-network qml tensorflow optimization quantum differentiable-computing automatic-differentiation pytorch autograd quantum-computing quantum-chemistry quantum-machine-learning qiskit jax cirq
Source-to-Source Debuggable Derivatives in Pure Python
automatic differentiation made easier for C++
automatic-differentiation derivatives auto-differentiation differentiation autodiff numerical-derivation autodifferentiation
Self-contained Machine Learning and Natural Language Processing library in Go
nlp machine-learning natural-language-processing deep-learning neural-network automatic-differentiation artificial-intelligence recurrent-networks lstm computation-graph question-answering bart automatic-translation deeplearning language-model bert transformer-architecture bert-as-service named-entities-recognition
High-performance automatic differentiation of LLVM and MLIR.
c rust machine-learning deep-learning enzyme compiler cpp simulation tensorflow ad high-performance llvm automatic-differentiation clang pytorch scientific-computing derivative gradient differentiable-programming llvm-enzyme
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
cpp robotics automatic-differentiation control-systems trajectory-optimization optimal-control model-predictive-control rigid-body-dynamics lqr-controller extended-kalman-filter ilqg ilqr disturbance-observer multiple-shooting riccati-solver
21st century AD
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
iot machine-learning nim deep-learning opencl linear-algebra automatic-differentiation openmp parallel-computing cuda autograd gpgpu neural-networks high-performance-computing ndarray tensor gpu-computing multidimensional-arrays cudnn matrix-library
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.
python analysis simulation optimization aerospace automatic-differentiation airplane cfd aircraft aerodynamics vlm xfoil aerospace-engineering aircraft-design mdo mdao aerodynamic-analysis 3d-panel
Owl - OCaml Scientific Computing @ https://ocaml.xyz
machine-learning statistics neural-network optimization matrix linear-algebra automatic-differentiation regression autograd numerical-calculations scientific-computing topic-modeling ndarray plotting gsl maths sparse-linear-systems statistical-functions mcmc algorithmic-differentation
A JavaScript library like PyTorch, with GPU acceleration.
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
theano automatic-differentiation transpiler tensors symbolic-computation optimizing-compiler optimizing-compilers aesara term-rewriting-system
Forward Mode Automatic Differentiation for Julia
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
newton cpp optimization automatic-differentiation eigen openmp cpp11 evolutionary-algorithms armadillo gradient-descent optim differential-evolution optimization-algorithms particle-swarm-optimization bfgs lbfgs openmp-parallelization eigen3 numerical-optimization-methods
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
optimization julia automatic-differentiation global-optimization hacktoberfest nonlinear-optimization convex-optimization algorithmic-differentiation mixed-integer-programming scientific-machine-learning derivative-free-optimization sciml local-optimization
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.
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