Alternatives and similar repositories for geom_median

Users that are interested in geom_median are comparing it to the libraries listed below

• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆67Updated 3 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
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆64Updated 8 months ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated last year
• 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
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆73Updated 4 years ago
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆18Updated 3 weeks ago
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆57Updated 2 years ago
• microsoft / goodpoints
  A Python package for generating concise, high-quality summaries of a probability distribution
  ☆57Updated last week
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆96Updated 4 months ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆56Updated 4 months ago
• benchopt / benchopt
  Making your ML and optimization benchmarks simple and open
  ☆289Updated last week
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• dholzmueller / probmetrics
  Classification metrics and post-hoc calibration
  ☆49Updated 3 weeks ago
• alexandersoen / pyBregMan
  ☆32Updated 6 months ago
• hsouri / BayesianTransferLearning
  ☆111Updated 3 years ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆37Updated 3 years ago
• deep-spin / non-exchangeable-crc
  ☆11Updated 4 months ago
• benchopt / template_benchmark
  ☆27Updated 2 weeks ago
• QB3 / sparse-ho
  Fast hyperparameter settings for non-smooth estimators:
  ☆40Updated 2 years ago
• aangelopoulos / private_prediction_sets
  Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
  ☆18Updated last year
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated 2 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆151Updated 2 months ago
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆73Updated last year
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated 2 years ago
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆105Updated 2 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• mariuslindegaard / Intermediate_Neural_Collapse
  (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code
  ☆16Updated 2 years ago
• tijana-zrnic / active-inference
  ☆18Updated last year
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago