Topic: automatic-differentiation Goto Github
Some thing interesting about automatic-differentiation
Some thing interesting about automatic-differentiation
automatic-differentiation,Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
Organization: aesara-devs
Home Page: https://aesara.readthedocs.io
automatic-differentiation,Comprehensive automatic differentiation in C++
Organization: auto-differentiation
Home Page: https://auto-differentiation.github.io
automatic-differentiation,automatic differentiation made easier for C++
Organization: autodiff
Home Page: https://autodiff.github.io
automatic-differentiation,🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
User: breandan
Home Page: https://breandan.net/public/masters_thesis.pdf#page=49
automatic-differentiation,⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
User: chakravala
Home Page: https://grassmann.crucialflow.com
automatic-differentiation,A JavaScript library like PyTorch, with GPU acceleration.
User: eduardoleao052
Home Page: https://eduardoleao052.github.io/js-pytorch/site/index.html
automatic-differentiation,High-performance automatic differentiation of LLVM and MLIR.
Organization: enzymead
Home Page: https://enzyme.mit.edu
automatic-differentiation,Julia bindings for the Enzyme automatic differentiator
Organization: enzymead
Home Page: https://enzyme.mit.edu
automatic-differentiation,The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Organization: ethz-adrl
automatic-differentiation,21st century AD
Organization: fluxml
Home Page: https://fluxml.ai/Zygote.jl/
automatic-differentiation,Tensor library for machine learning
User: ggerganov
automatic-differentiation,Source-to-Source Debuggable Derivatives in Pure Python
Organization: google
automatic-differentiation,Gorgonia is a library that helps facilitate machine learning in Go.
Organization: gorgonia
Home Page: https://gorgonia.org/
automatic-differentiation,:microscope: Nano size Theano LSTM module
User: jonathanraiman
automatic-differentiation,forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
Organization: juliadiff
automatic-differentiation,AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
Organization: juliadiff
automatic-differentiation,Forward Mode Automatic Differentiation for Julia
Organization: juliadiff
automatic-differentiation,Reverse Mode Automatic Differentiation for Julia
Organization: juliadiff
automatic-differentiation,Taylor polynomial expansions in one and several independent variables.
Organization: juliadiff
automatic-differentiation,A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.
Organization: juliatopopt
Home Page: https://juliatopopt.github.io/TopOpt.jl/
automatic-differentiation,Automatic Differentiation Library for Computational and Mathematical Engineering
User: kailaix
Home Page: https://kailaix.github.io/ADCME.jl/latest/
automatic-differentiation,OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
User: kthohr
Home Page: https://optimlib.readthedocs.io/en/latest/
automatic-differentiation,Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Organization: leopard-ai
Home Page: https://leopard-ai.github.io/betty/
automatic-differentiation,The Emmy Computer Algebra System.
Organization: mentat-collective
Home Page: https://emmy.mentat.org
automatic-differentiation,TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Organization: metaopt
Home Page: https://torchopt.readthedocs.io
automatic-differentiation,M.I.T General Circulation Model master code and documentation repository
Organization: mitgcm
Home Page: http://mitgcm.org/
automatic-differentiation,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
User: mratsim
Home Page: https://mratsim.github.io/Arraymancer/
automatic-differentiation,Self-contained Machine Learning and Natural Language Processing library in Go
Organization: nlpodyssey
automatic-differentiation,『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Organization: oreilly-japan
automatic-differentiation,Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
Organization: ott-jax
Home Page: https://ott-jax.readthedocs.io
automatic-differentiation,Owl - OCaml Scientific Computing @ https://ocaml.xyz
Organization: owlbarn
automatic-differentiation,Automatic Differentiation in Geometry Processing Made Simple
User: patr-schm
automatic-differentiation,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.
Organization: pennylaneai
Home Page: https://pennylane.ai
automatic-differentiation,Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Organization: pennylaneai
Home Page: https://pennylane.ai/qml
automatic-differentiation,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.
User: peterdsharpe
Home Page: https://peterdsharpe.github.io/AeroSandbox/
automatic-differentiation,A deep learning framework created from scratch with Python and NumPy
User: pranftw
Home Page: https://neograd.readthedocs.io/
automatic-differentiation,Tensors and differentiable operations (like TensorFlow) in Rust
User: raskr
automatic-differentiation,A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Organization: sciml
Home Page: https://docs.sciml.ai/Integrals/stable/
automatic-differentiation,DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Organization: sciml
Home Page: https://docs.sciml.ai/NeuralOperators/stable/
automatic-differentiation,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.
Organization: sciml
Home Page: https://docs.sciml.ai/Optimization/stable/
automatic-differentiation,Surrogate modeling and optimization for scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/Surrogates/stable/
automatic-differentiation,A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
Organization: stack-of-tasks
Home Page: http://stack-of-tasks.github.io/pinocchio/
automatic-differentiation,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.
Organization: stan-dev
Home Page: https://mc-stan.org
automatic-differentiation,Tensor network based quantum software framework for the NISQ era
Organization: tencent-quantum-lab
Home Page: https://tensorcircuit.readthedocs.io
automatic-differentiation,Tensorlang, a differentiable programming language based on TensorFlow
Organization: tensorlang
automatic-differentiation,A Programming Language for Deep Learning
Organization: thoughtworksinc
automatic-differentiation,A simple library for creating complex neural networks
Organization: thoughtworksinc
Home Page: http://deeplearning.thoughtworks.school/
automatic-differentiation,Differentiable Fluid Dynamics Package
Organization: tumaer
automatic-differentiation,One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD
User: under-peter
Home Page: https://under-peter.github.io/OMEinsum.jl/dev/
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