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

• wongswk / magi
  ☆13Updated 4 months ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆28Updated 2 weeks ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆11Updated last year
• 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
• cambridge-mlg / neural_diffusion_processes
  ☆13Updated last year
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 2 years ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 2 weeks ago
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 3 years ago
• stanlazic / ML_uncertainty_quantification
  Quantifying and reporting uncertainty in drug discovery predictions with probabilistic models
  ☆11Updated 2 years ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆36Updated 3 months ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆19Updated 3 years ago
• pmorenoz / ModularGP
  Modular Gaussian Processes
  ☆15Updated 3 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆26Updated 6 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆41Updated 6 months ago
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆17Updated last year
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 5 years ago
• robsalomone / Deep-Probabilistic-Models-Course
  Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021
  ☆10Updated 3 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆53Updated 11 months ago
• TeaPearce / Censored_Quantile_Regression_NN
  NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'
  ☆13Updated 2 years ago
• PrincetonLIPS / AHGP
  [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
  ☆21Updated 4 years ago
• long-da / A-United-Framework-to-Integrate-Physics-into-Gaussian-Processes
  ☆10Updated 2 years ago
• kpchamp / MultiscaleDiscovery
  ☆27Updated 6 years ago
• RajDandekar / MSML21_BayesianNODE
  ☆36Updated 3 years ago
• fraenkel-lab / mogp
  Mixture of Gaussian Processes Model for Sparse Longitudinal Data
  ☆36Updated 2 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
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆17Updated 5 months ago
• dimitra-maoutsa / DeterministicParticleFlowControl
  Repository for Deterministic Particle Flow Control framework
  ☆10Updated 2 years ago