Tensor library for machine learning
-
Updated
Dec 19, 2024 - C++
#
automatic-differentiation
Here are 483 public repositories matching this topic...
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
-
Updated
Aug 12, 2024 - Go
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.
python machine-learning deep-learning neural-network qml tensorflow optimization quantum differentiable-computing automatic-differentiation pytorch autograd quantum-computing quantum-chemistry hacktoberfest quantum-machine-learning qiskit jax cirq strawberryfields
-
Updated
Dec 19, 2024 - Python
Source-to-Source Debuggable Derivatives in Pure Python
-
Updated
Sep 29, 2022 - Python
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
-
Updated
Dec 16, 2024 - C++
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
-
Updated
Jan 15, 2024 - Go
automatic differentiation made easier for C++
automatic-differentiation derivatives auto-differentiation differentiation autodiff numerical-derivation autodifferentiation
-
Updated
Nov 13, 2024 - C++
21st century AD
-
Updated
Nov 10, 2024 - Julia
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
-
Updated
Nov 9, 2022 - C++
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
-
Updated
Nov 10, 2024 - Nim
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
-
Updated
Dec 15, 2024 - LLVM
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
-
Updated
Dec 3, 2024 - OCaml
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
-
Updated
Nov 15, 2024 - Python
A JavaScript library like PyTorch, with GPU acceleration.
-
Updated
Nov 15, 2024 - JavaScript
Forward Mode Automatic Differentiation for Julia
-
Updated
Dec 6, 2024 - 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
-
Updated
Apr 28, 2024 - C++
A simple library for creating complex neural networks
machine-learning scala deep-neural-networks deep-learning neural-network functional-programming dsl automatic-differentiation domain-specific-language symbolic-computation
-
Updated
Jul 30, 2024 - Scala
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
-
Updated
Dec 17, 2024 - Jupyter Notebook
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.
-
Updated
Dec 11, 2024 - C++
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
-
Updated
May 27, 2024 - Python
Improve this page
Add a description, image, and links to the automatic-differentiation topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the automatic-differentiation topic, visit your repo's landing page and select "manage topics."