Alternatives and similar repositories for dynamic-systems-DL

Users that are interested in dynamic-systems-DL are comparing it to the libraries listed below

• HanshuYAN / TisODE
  On Robustness of Neural Ordinary Differential Equations
  ☆11Updated 4 years ago
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆116Updated 5 years ago
• a-norcliffe / sonode
  Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
  ☆60Updated last year
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆75Updated 3 years ago
• yakovlev31 / graphpdes
  ☆14Updated 4 years ago
• AKuzina / BooVAE
  Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1…
  ☆14Updated 4 years ago
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆59Updated 3 years ago
• Rachnog / Neural-ODE-Experiments
  This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
  ☆199Updated 6 years ago
• Baichenjia / MINE
  Mutual Information Neural Estimation (Pytorch)
  ☆12Updated 5 years ago
• xuesongwang / Neural-Process-Family
  ☆11Updated 2 years ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆60Updated 2 years ago
• ahmedmalaa / Fourier-flows
  ☆18Updated 3 years ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆118Updated 9 months ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆63Updated 4 years ago
• hedixia / HeavyBallNODE
  ☆13Updated 4 years ago
• jwyyy / AdaFNN
  [ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers
  ☆30Updated 3 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆123Updated 2 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆54Updated 5 years ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆67Updated 3 years ago
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆57Updated 2 months ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆104Updated 4 years ago
• nhartland / KL-divergence-estimators
  Testing methods for estimating KL-divergence from samples.
  ☆68Updated 7 months ago
• yantijin / ScoreGradPred
  Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*
  ☆87Updated 8 months ago
• lxcnju / NeuralProcess
  PyTorch for Neural Process in ICML 2018
  ☆20Updated 6 years ago
• yuanyige / pde-add
  [AAAI 2024] PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
  ☆24Updated last year
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆74Updated 2 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆49Updated 6 years ago
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆62Updated 3 years ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆50Updated 3 years ago
• ashysheya / ODE-RNN
  ☆26Updated 5 years ago