Topic: neural-ode Goto Github
Some thing interesting about neural-ode
Some thing interesting about neural-ode
neural-ode,Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" (ICML 2021)
User: avik-pal
Home Page: http://proceedings.mlr.press/v139/pal21a.html
neural-ode,A toolbox for learning with neural ODEs.
User: borjang
neural-ode,Regularized Neural ODEs (RNODE)
User: cfinlay
Home Page: https://arxiv.org/abs/2002.02798
neural-ode,Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
User: chrisrackauckas
Home Page: https://arxiv.org/abs/2001.04385
neural-ode,Chemical Reaction Neural Network
Organization: deng-mit
Home Page: https://arxiv.org/abs/2002.09062
neural-ode,A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Organization: diffeqml
Home Page: https://torchdyn.org
neural-ode,Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.
User: frankschae
Home Page: https://arxiv.org/abs/2101.01190
neural-ode,Latent Differential Equations models in Julia.
User: gabrevaya
neural-ode,CVPR2021 paper "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptorsfor Efficient and Robust 4D Reconstruction"
Organization: gorilla-lab-scut
neural-ode,Code for the paper "Learning Differential Equations that are Easy to Solve"
User: jacobjinkelly
Home Page: https://arxiv.org/abs/2007.04504
neural-ode,Implementation of (2018) Neural Ordinary Differential Equations on Keras
User: jason71995
neural-ode,NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21
User: jeehyunhwang
neural-ode,LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
User: jeongwhanchoi
neural-ode,Arrays with arbitrarily nested named components.
User: jonniedie
neural-ode,Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
User: juliagusak
neural-ode,Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
User: juliagusak
neural-ode,Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022
User: martenlienen
Home Page: https://www.daml.in.tum.de/finite-element-networks
neural-ode,A parallel ODE solver for PyTorch
User: martenlienen
Home Page: https://torchode.readthedocs.io
neural-ode,18.S096 - Applications of Scientific Machine Learning
Organization: mitmath
neural-ode,Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
User: msurtsukov
neural-ode,Closed-form Continuous-time Neural Networks
User: raminmh
neural-ode,Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
User: sangyun884
neural-ode,Boundary value problem (BVP) solvers for scientific machine learning (SciML)
Organization: sciml
neural-ode,The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Organization: sciml
neural-ode,Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqBayes/stable/
neural-ode,A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqCallbacks/stable/
neural-ode,Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqDocs/stable/
neural-ode,Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqFlux/stable
neural-ode,GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqGPU/stable/
neural-ode,Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqOperators/stable/
neural-ode,Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqParamEstim/stable/
neural-ode,A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Organization: sciml
neural-ode,Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/JumpProcesses/stable/
neural-ode,Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
Organization: sciml
neural-ode,A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Organization: sciml
Home Page: https://docs.sciml.ai/MultiScaleArrays/stable/
neural-ode,Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
Organization: sciml
neural-ode,A component of the SciML scientific machine learning ecosystem for optimal control
Organization: sciml
neural-ode,The SciML Scientific Machine Learning Software Organization Website
Organization: sciml
Home Page: https://sciml.ai/
neural-ode,Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLBenchmarksOutput/stable/
neural-ode,Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Organization: sciml
Home Page: https://book.sciml.ai/
neural-ode,A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLSensitivity/stable/
neural-ode,Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Organization: sciml
Home Page: https://tutorials.sciml.ai
neural-ode,Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLTutorialsOutput/stable/
neural-ode,Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
User: thaipduong
Home Page: https://thaipduong.github.io/SE3HamDL/
neural-ode,Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
User: titu1994
neural-ode,The official PyTorch implementation of "Learning to Simulate Daily Activities via Modeling Dynamic Human Needs" (WWW'23)
Organization: tsinghua-fib-lab
neural-ode,Repository for notes, projects and snippets on NODEs. Includes results after training CNN based networks with different methods on MNIST, CIFAR-10, CelebA and CatsAndDogs datasets accordingly.
User: xalpharax
neural-ode,Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
User: xwinxu
Home Page: https://arxiv.org/abs/2102.06559
neural-ode,A collection of resources regarding the interplay between control, causality, latent structure and self-supervision.
User: zymrael
neural-ode,Neural Graph Differential Equations (Neural GDEs)
User: zymrael
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