Alternatives and similar repositories for dynamic-systems-DL

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

• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆116Updated 5 years ago
• lxcnju / NeuralProcess
  PyTorch for Neural Process in ICML 2018
  ☆20Updated 6 years ago
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆59Updated 3 years ago
• ahmedmalaa / Fourier-flows
  ☆18Updated 3 years ago
• HanshuYAN / TisODE
  On Robustness of Neural Ordinary Differential Equations
  ☆11Updated 4 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
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆25Updated last year
• Baichenjia / MINE
  Mutual Information Neural Estimation (Pytorch)
  ☆12Updated 5 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…
  ☆13Updated 4 years ago
• edebrouwer / latentCCM
  Implementation of the Latent CCM paper
  ☆16Updated last year
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆61Updated 3 months ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆75Updated 2 years ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆63Updated 4 years ago
• nhartland / KL-divergence-estimators
  Testing methods for estimating KL-divergence from samples.
  ☆69Updated last week
• xuesongwang / Neural-Process-Family
  ☆11Updated 2 years ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆68Updated 3 years ago
• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆99Updated 8 months ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆60Updated 2 years ago
• danielkelshaw / WeightUncertainty
  PyTorch implementation of 'Weight Uncertainty in Neural Networks'
  ☆19Updated 5 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
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆120Updated 11 months ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆49Updated 6 years ago
• ashysheya / ODE-RNN
  ☆26Updated 5 years ago
• xuzhiqin1990 / mscalednn
  ☆21Updated 5 years ago
• jwyyy / AdaFNN
  [ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers
  ☆30Updated 3 years ago
• mbilos / neural-flows-experiments
  Experiments for Neural Flows paper
  ☆99Updated 4 years ago
• french-paragon / BayesianNeuralNetwork-Tutorial-Metarepos
  A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…
  ☆139Updated 3 years ago
• h-yu16 / Sparse_Variable_Independence
  Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".
  ☆13Updated last year