Alternatives and similar repositories for mimo:

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

• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• dimarkov / aibandits
  Active inference implementation of dynamic multi-armed bandits
  ☆19Updated last year
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• j-friedrich / neuralOFC
  Neural Optimal Feedback Control
  ☆11Updated 2 years ago
• mbaltieri / GeneralisedFiltering
  General framework for Bayesian inversion of continuous hierarchical models
  ☆10Updated 3 years ago
• EEA-sensors / sequential-parallelization-examples
  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
  ☆31Updated last year
• schwartenbeckph / CPC_ActiveInference2018
  Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
  ☆31Updated 4 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• cicl-stanford / csm
  Contains all materials for the paper "A counterfactual simulation model of causal judgment".
  ☆23Updated 3 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆58Updated 3 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆29Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 6 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• bguedj / pyrotor
  ☆13Updated last year
• cambridge-mlg / neural_diffusion_processes
  ☆13Updated last year
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated last year
• kazukiosawa / ngd_in_wide_nn
  simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…
  ☆14Updated 4 years ago
• google-deepmind / dm_construction
  ☆27Updated 4 years ago
• chrisdxie / in-depth-VI-tutorial
  ☆11Updated 8 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆31Updated last year
• uber-research / vargp
  Variational Auto-Regressive Gaussian Processes for Continual Learning
  ☆20Updated 3 years ago
• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆23Updated 5 years ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆28Updated last week
• eleurent / phd-defense
  ☆43Updated 3 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆29Updated 4 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆21Updated 6 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 6 years ago
• boschresearch / PAC_GP
  Implementation of the PAC Bayesian GP learning method.
  ☆10Updated 6 years ago