Alternatives and similar repositories for conformal-bayesopt

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

• clarafy / conformal-for-design
  ☆28Updated 3 years ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆42Updated 4 years ago
• dholzmueller / bmdal_reg
  Deep Batch Active Learning for Regression
  ☆73Updated last year
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 4 years ago
• tijana-zrnic / active-inference
  ☆18Updated last year
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 3 years ago
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 4 years ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆22Updated 2 years ago
• cog-imperial / SnAKe
  Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".
  ☆17Updated last year
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆44Updated 7 months ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆33Updated 3 years ago
• nataliemaus / lolbo
  ☆33Updated 3 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆67Updated last year
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆24Updated 3 years ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆54Updated 2 months ago
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆74Updated last year
• EtashGuha / R2CCP
  ☆22Updated last year
• aryandeshwal / LADDER
  Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
  ☆13Updated 4 years ago
• guanghelee / iclr20-locally-constant-nets
  "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")
  ☆22Updated 4 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆55Updated 4 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated 10 months ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆76Updated 3 years ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆68Updated 3 years ago
• drewprinster / conformal-mfcs
  Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…
  ☆27Updated last year
• genedisco / genedisco
  GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
  ☆40Updated 2 years ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 9 months ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated 2 months ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆75Updated 3 years ago
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆18Updated 3 weeks ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 3 years ago