Alternatives and similar repositories for D-CODE-ICLR-2022:

Users that are interested in D-CODE-ICLR-2022 are comparing it to the libraries listed below

• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆28Updated 2 months ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆19Updated 3 years ago
• wongswk / magi
  ☆13Updated 5 months ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆11Updated 3 years ago
• clarafy / conformal-for-design
  ☆30Updated 2 years ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆26Updated 6 years ago
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆18Updated 6 months ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆36Updated 5 months ago
• kpchamp / MultiscaleDiscovery
  ☆28Updated 6 years ago
• eth-cscs / abcpy-models
  ☆12Updated 3 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 3 years ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 2 months ago
• RajDandekar / MSML21_BayesianNODE
  ☆36Updated 3 years ago
• dimitra-maoutsa / DeterministicParticleFlowControl
  Repository for Deterministic Particle Flow Control framework
  ☆10Updated 2 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆61Updated 4 years ago
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆10Updated last year
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆53Updated last year
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆27Updated 2 years ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 3 years ago
• DiffEqML / tutorials
  ☆10Updated 2 years ago
• cselab / LED
  ☆19Updated 2 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆27Updated 4 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• ImperialCollegeLondon / csml-reading-group
  Computational statistics and machine learning reading group at Imperial College London (2019-2020)
  ☆24Updated last month
• hectormz / awesome-bayes
  A curated list of awesome Bayesian statistics blogs and resources
  ☆22Updated last year
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• DENG-MIT / StiffNet-Benchmark
  Benchmark for learning stiff problems using physics-informed machine learning
  ☆11Updated 3 years ago