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
  ☆14Updated 8 months ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 2 years ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆26Updated 6 years ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆21Updated 3 years ago
• kpchamp / MultiscaleDiscovery
  ☆28Updated 7 years ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 2 months ago
• ahmedmalaa / Symbolic-Metamodeling
  Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
  ☆50Updated 5 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 10 months ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆58Updated last year
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• TeaPearce / Censored_Quantile_Regression_NN
  NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'
  ☆12Updated 2 years ago
• pierrebaudot / infotopopy
  computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep …
  ☆38Updated 3 years ago
• DENG-MIT / StiffNet-Benchmark
  Benchmark for learning stiff problems using physics-informed machine learning
  ☆12Updated 3 years ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 5 months ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆35Updated 2 years ago
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆32Updated 6 years ago
• mcontisc / CRep
  Probabilistic generative model and efficient algorithm to model reciprocity in directed networks.
  ☆16Updated last year
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆27Updated 5 years ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆29Updated 5 months ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 4 years ago
• sdascoli / odeformer
  ☆63Updated 10 months ago
• cambridge-mlg / neural_diffusion_processes
  ☆13Updated 2 years ago
• datafold-dev / datafold
  Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…
  ☆30Updated 9 months ago
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆12Updated last year
• fraenkel-lab / mogp
  Mixture of Gaussian Processes Model for Sparse Longitudinal Data
  ☆37Updated 2 years ago
• ihawryluk / GP_nowcasting
  GP nowcasting for Brazil Covid-19 mortality
  ☆9Updated 11 months ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• RaulPL / awesome-gaussian-processes
  A curated list of resources for learning Gaussian Processes
  ☆39Updated 3 years ago
• tijana-zrnic / active-inference
  ☆15Updated last year
• eth-cscs / abcpy-models
  ☆13Updated 3 years ago