Alternatives and similar repositories for NN_calibration

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

• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆161Updated 2 years ago
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆275Updated 3 years ago
• jfc43 / robust-ood-detection
  Robust Out-of-distribution Detection in Neural Networks
  ☆73Updated 3 years ago
• p-lambda / verified_calibration
  Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…
  ☆153Updated 3 years ago
• Jonathan-Pearce / calibration-toolbox
  NumPy library for calibration metrics
  ☆76Updated 3 weeks ago
• ashafaei / out-of-distribution-detection
  The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
  ☆118Updated 6 years ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆83Updated 4 years ago
• BlackHC / BatchBALD
  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
  ☆247Updated last year
• valeoai / ConfidNet
  Addressing Failure Prediction by Learning Model Confidence
  ☆173Updated 3 years ago
• hollance / reliability-diagrams
  Reliability diagrams visualize whether a classifier model needs calibration
  ☆165Updated 4 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 5 years ago
• laura-rieger / deep-explanation-penalization
  Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…
  ☆128Updated 4 years ago
• hendrycks / ss-ood
  Self-Supervised Learning for OOD Detection (NeurIPS 2019)
  ☆270Updated 4 years ago
• megvii-research / FSSD_OoD_Detection
  [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
  ☆79Updated 4 years ago
• hendrycks / error-detection
  A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
  ☆233Updated 7 years ago
• decile-team / distil
  DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
  ☆155Updated 3 years ago
• alinlab / Confident_classifier
  Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
  ☆182Updated 5 years ago
• nazim1021 / OOD-detection-using-OECC
  Outlier Exposure with Confidence Control for Out-of-Distribution Detection
  ☆71Updated 4 years ago
• KaosEngineer / PriorNetworks
  ☆68Updated 6 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆147Updated 2 years ago
• adebayoj / sanity_checks_saliency
  ☆113Updated 3 years ago
• rpinsler / active-bayesian-coresets
  ☆40Updated 5 years ago
• modestyachts / ImageNetV2
  A new test set for ImageNet
  ☆262Updated 2 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 5 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated 2 years ago
• BlackHC / batchbald_redux
  Reusable BatchBALD implementation
  ☆78Updated last year
• uoguelph-mlrg / confidence_estimation
  Learning Confidence for Out-of-Distribution Detection in Neural Networks
  ☆275Updated 7 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆31Updated 3 years ago
• KaosEngineer / PriorNetworks-OLD
  ☆42Updated 6 years ago
• mdiephuis / SimCLR
  Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
  ☆82Updated last year