Alternatives and similar repositories for conformal-for-design

Users that are interested in conformal-for-design are comparing it to the libraries listed below

• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 2 years ago
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 3 years ago
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆71Updated last year
• tijana-zrnic / active-inference
  ☆15Updated last year
• guanghelee / iclr20-locally-constant-nets
  "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")
  ☆22Updated 4 years ago
• genedisco / genedisco
  GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
  ☆38Updated 2 years ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆42Updated 4 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆20Updated 4 months ago
• nataliemaus / lolbo
  ☆30Updated 2 years ago
• pascalnotin / uncertainty_guided_optimization
  Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…
  ☆31Updated last year
• yabozkurt / gmvae
  Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'
  ☆20Updated 5 years ago
• MJ10 / BioSeq-GFN-AL
  Code for "Biological Sequence Design with GFlowNets", 2022
  ☆74Updated 2 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• aryandeshwal / LADDER
  Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
  ☆13Updated 3 years ago
• dimkal89 / rvae
  ☆38Updated 5 years ago
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆22Updated 3 years ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated 2 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 3 years ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆42Updated 2 months ago
• RECOVERcoalition / Recover
  Exploring the space of drug combinations to discover synergistic drugs using Active Learning
  ☆24Updated 11 months ago
• tung-nd / ExPT
  ☆18Updated last year
• take-koshizuka / NLSB
  ☆20Updated 6 months ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆73Updated 2 years ago
• genedisco / genedisco-starter
  The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.
  ☆24Updated 3 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• leojklarner / Q-SAVI
  Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
  ☆24Updated 2 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• ml-jku / LaM-SLidE
  Code for the paper LaM-SLidE - Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
  ☆25Updated 2 months ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 6 months ago