Alternatives and similar repositories for MAT6115_Dynamical_Systems

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

• druidowm / OccamNet_Public
  ☆19Updated 3 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆90Updated last year
• tejparr / nmpassing
  neuronal message passing
  ☆17Updated 6 years ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 2 years ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆35Updated 5 years ago
• KietzmannLab / EmergentPredictiveCoding
  ☆38Updated last year
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 4 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• team-approx-bayes / dnn2gp
  Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
  ☆48Updated 5 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• vicariousinc / naturecomm_cscg
  ☆39Updated 2 years ago
• andrew-cr / online_var_fil
  Code for our paper: Online Variational Filtering and Parameter Learning
  ☆18Updated 3 years ago
• AdrienCorenflos / jax-workshop
  JAX workshop for beginners
  ☆8Updated 5 months ago
• gehring / fax
  ☆80Updated 3 years ago
• geometric-intelligence / neurometry
  Quantify geometric intelligence in natural and artificial brains.
  ☆51Updated 7 months ago
• gpapamak / snl
  Sequential Neural Likelihood
  ☆40Updated 5 years ago
• thebuckleylab / jpc
  Flexible Inference for Predictive Coding Networks in JAX.
  ☆48Updated 2 weeks ago
• sphinxteam / DukeLecture2018
  Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"
  ☆16Updated 5 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆32Updated 2 years ago
• gatsby-sahani / gp-sde
  ☆14Updated last year
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 4 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆39Updated 4 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆34Updated 4 years ago
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆69Updated 2 months ago
• agramfort / DS3_practical_optim_for_ml
  Notebooks from DS3 course on practical optimization
  ☆15Updated 4 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated last year
• EI-research-group / deep-ei
  Tools for examining the causal structure of artificial neural networks with information theory
  ☆22Updated 4 years ago
• alec-tschantz / predcoding
  A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)
  ☆18Updated 4 years ago