Alternatives and similar repositories for implicit-posterior

Users that are interested in implicit-posterior are comparing it to the libraries listed below

• JonathanWenger / pycalib
  Non-Parametric Calibration for Classification (AISTATS 2020)
  ☆19Updated 3 years ago
• fbuchert / fixmatch-pytorch
  PyTorch implementation of FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
  ☆12Updated 3 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated last year
• Jonathan-Pearce / calibration-toolbox
  NumPy library for calibration metrics
  ☆73Updated 4 months ago
• AmirooR / IntraOrderPreservingCalibration
  ☆12Updated 2 years ago
• tayden / ood-metrics
  Metrics for out-of-distribution (OOD) detection performance evaluation
  ☆48Updated 5 months ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆87Updated 3 years ago
• kartikgupta-at-anu / spline-calibration
  Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"
  ☆22Updated 2 years ago
• isaaccorley / resize-is-all-you-need
  The official repository for the paper "Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters"
  ☆18Updated last month
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 3 years ago
• sustainlab-group / geography-aware-ssl
  Official Repository for ICCV 2021 Paper Titled as "Geography-Aware Self-Supervised Learning"
  ☆44Updated 2 years ago
• visipedia / newt
  Natural World Tasks
  ☆41Updated last year
• valeoai / STEEX
  STEEX: Steering Counterfactual Explanations with Semantics
  ☆19Updated 2 years ago
• sjoshi804 / sas-data-efficient-contrastive-learning
  Official Code for ICML 2023 Data-Efficient Contrastive Self-supervised Learning
  ☆32Updated last year
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆34Updated last year
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• YugeTen / adios
  ☆65Updated 3 years ago
• jhaochenz96 / spectral_contrastive_learning
  ☆22Updated 3 years ago
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• GT-RIPL / UNO-IC
  ☆31Updated 4 years ago
• valeoai / sfrik
  Official code for "Self-supervised learning with rotation-invariant kernels"
  ☆11Updated 2 years ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• Advanced-Vision-and-Learning-Lab / XAI_Analysis
  ☆9Updated last year
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆60Updated last month