Alternatives and similar repositories for MAT6115_Dynamical_Systems

Users that are interested in MAT6115_Dynamical_Systems are comparing it to the libraries listed below

• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆91Updated last year
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• tejparr / nmpassing
  neuronal message passing
  ☆17Updated 6 years ago
• dimarkov / aibandits
  Active inference implementation of dynamic multi-armed bandits
  ☆19Updated 3 weeks ago
• mbaltieri / GeneralisedFiltering
  General framework for Bayesian inversion of continuous hierarchical models
  ☆10Updated 3 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated 2 years ago
• agramfort / DS3_practical_optim_for_ml
  Notebooks from DS3 course on practical optimization
  ☆15Updated 4 years ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 2 years ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆35Updated 5 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• KietzmannLab / EmergentPredictiveCoding
  ☆39Updated last year
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 5 years ago
• vicariousinc / naturecomm_cscg
  ☆41Updated 2 years ago
• gehring / fax
  ☆80Updated 3 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆53Updated last year
• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆51Updated 3 years ago
• jimmysmith1919 / JSLDS_public
  ☆12Updated 3 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆35Updated 4 years ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• gatsby-sahani / gp-sde
  ☆14Updated 2 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆110Updated 4 years ago
• team-approx-bayes / dnn2gp
  Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
  ☆48Updated 5 years ago
• AdrienCorenflos / jax-workshop
  JAX workshop for beginners
  ☆8Updated 6 months ago
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 5 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆62Updated 4 years ago