confidence-estimation

There are 21 repositories under confidence-estimation topic.

  • kkirchheim/pytorch-ood

    👽 Out-of-Distribution Detection with PyTorch

    Language:Python21852118

  • oracle/macest

    Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores

    Language:Jupyter Notebook1014520

  • Impression2805/Awesome-Failure-Detection

    A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)

    39111

  • EQTPartners/sire

    📈 SiRE (Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data), accepted by CIKM'2022 🗽

    Language:Python32709

  • fabiotosi92/CCNN-Tensorflow

    Learning from scratch a confidence measure

    Language:Python23439

  • Impression2805/FMFP

    PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"

    Language:Python23212

  • doihye/Adaptive-confidence-thresholding

    Official pytorch implementation of the paper [Adaptive confidence thresholding for monocular depth estimation]

    Language:Python17

  • alecokas/BiLatticeRNN-Confidence

    Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks https://arxiv.org/abs/1910.11933 or https://ieeexplore.ieee.org/document/9053264

    Language:Python16404

  • pub-calculator-io/sample-size-calculator

    Free WordPress Plugin: This sample size calculator enables you to calculate the minimum sample size and the margin of error. Learn about sample size, the margin of error, & confidence interval. www.calculator.io/sample-size-calculator/

    Language:JavaScript1500

  • dschinagl/gace

    Demo code for GACE: Geometry Aware Confidence Enhancement

    Language:Python8400

  • GiovanniCiampi/confidence_interval_estimator_ML

    This repo contains code to perform Bootstrap Confidence Intervals estimation (a.k.a. Monte Carlo Confidence Interval or Empirical Confidence Interval estimation) for Machine Learing models.

    Language:Jupyter Notebook5210

  • insysbio/LikelihoodProfiler.py

    Language:Python3300

  • koulanurag/opcc

    Benchmark for "Offline Policy Comparison with Confidence"

    Language:Python3100

  • choshina/coverage-confidence

    A Robustness-based Confidence Measure for Hybrid System Falsification

    Language:HTML1300

  • g8a9/confidence_intervals

    Simple evaluation of classification confidence intervals.

    Language:Python1100

  • gsaygili/dimred

    Source code for predicting confidence scores for the samples in t-sne embeddings.

    Language:Python1200

  • hspfatemeh/number-of-times-an-experiment-should-be-repeated-for-a-95-probability

    number of times an experiment should be repeated for a 95% probability

    Language:Jupyter Notebook1100

  • kheinrich93/LGC-Plus

    In recent years, the ability to assess the uncertainty of depth estimates in the context of dense stereo matching has received increased attention due to its potential to detect erroneous estimates. Especially, the introduction of deep learning approaches greatly improved general performance, with feature extraction from multiple modalities proving to be highly advantageous due to the unique and different characteristics of each modality. However, most work in the literature focuses on using only mono- or bi- or rarely tri-modal input, not considering the potential effectiveness of modalities, going beyond tri-modality. To further advance the idea of combining different types of features for confidence estimation, in this work, a CNN-based approach is proposed, exploiting uncertainty cues from up to four modalities.

    Language:Python1

  • osu-cvl/agriculture

    Code for "Confidence-Driven Hierarchical Classification of Cultivated Plant Stresses"

    Language:Python1200

  • sanjaymjoshi/relistats

    Computation of Reliability Statistics: Reliability, Confidence, Assurance

    Language:Python1240

  • MultiTrickFox/UCB_MC

    upper confidence bound improved w/ monte carlo

    Language:Java10