RylanSchaeffer / HarvardAM207-prior-networks

Related projects ⓘ

Alternatives and complementary repositories for HarvardAM207-prior-networks

• KaosEngineer / PriorNetworks
  ☆65Updated 4 years ago
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆39Updated last year
• AlexMeinke / certified-certain-uncertainty
  A way to achieve uniform confidence far away from the training data.
  ☆36Updated 3 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆29Updated 2 years ago
• dirichletcal / experiments_neurips
  ☆21Updated last year
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated last year
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆81Updated 3 years ago
• kartikgupta-at-anu / spline-calibration
  Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"
  ☆22Updated last year
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆129Updated last year
• VProv / uncertainty_example
  ☆13Updated 4 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆83Updated 2 years ago
• tjoo512 / belief-matching-framework
  Belief matching framework official implementation
  ☆38Updated last year
• albietz / kernel_reg
  Pytorch implementation of regularization methods for deep networks obtained via kernel methods.
  ☆22Updated 4 years ago
• luoyan407 / congruency
  [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"
  ☆23Updated 4 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆40Updated last year
• icml-mcbn / mcbn
  ☆53Updated 6 years ago
• ENSTA-U2IS-AI / LDU
  Latent Discriminant deterministic Uncertainty [ECCV2022]
  ☆39Updated 2 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆74Updated 2 years ago
• DLR-RM / curvature
  Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
  ☆30Updated 3 years ago
• XavierXiao / Likelihood-Regret
  Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020
  ☆47Updated 3 years ago
• KaosEngineer / PriorNetworks-OLD
  ☆38Updated 5 years ago
• rpinsler / active-bayesian-coresets
  ☆40Updated 4 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆65Updated 4 years ago
• mkirchhof / Probabilistic_Contrastive_Learning
  This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…
  ☆37Updated last year
• PolinaKirichenko / deep_feature_reweighting
  ☆105Updated last year
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆116Updated 2 years ago
• engkarat / cosine-ood-detector
  Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity
  ☆31Updated last year
• y0ast / DUE
  Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
  ☆111Updated 2 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• boschresearch / hierarchical_anomaly_detection
  Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…
  ☆42Updated 3 years ago