leoandeol / conformal_railway_signal_detectionLinks
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling
☆11Updated 2 years ago
Alternatives and similar repositories for conformal_railway_signal_detection
Users that are interested in conformal_railway_signal_detection are comparing it to the libraries listed below
Sorting:
- Open-source framework for uncertainty and deep learning models in PyTorch☆424Updated last week
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆722Updated last week
- Lightweight, useful implementation of conformal prediction on real data.☆935Updated 2 months ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆419Updated this week
- ☆109Updated 4 years ago
- Large-scale uncertainty benchmark in deep learning.☆63Updated 3 months ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Updated last year
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆487Updated last year
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆366Updated last year
- ☆16Updated 4 months ago
- Reliability diagrams visualize whether a classifier model needs calibration☆155Updated 3 years ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆23Updated 8 months ago
- A list of (post-hoc) XAI for time series☆155Updated last year
- 👋 Xplique is a Neural Networks Explainability Toolbox☆697Updated 10 months ago
- A simple pytorch implementation for calculating VAE loss components and annealing KLD loss while training VAEs, especially RNN-based☆20Updated 8 months ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆59Updated last month
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆615Updated 4 months ago
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆64Updated last year
- A framework for studying the best practises for Mahalanobis distance for OOD detection☆16Updated 9 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆130Updated last year
- Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, boo…☆939Updated 4 months ago
- 👽 Out-of-Distribution Detection with PyTorch☆309Updated 2 months ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆25Updated 5 months ago
- Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)☆13Updated 4 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- Awesome Domain Adaptation Python Toolbox☆344Updated 10 months ago
- Code for finetuning TabPFN on one downstream tabular dataset.☆76Updated 3 months ago
- Unified Model Interpretability Library for Time Series☆66Updated 4 months ago
- [ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning☆12Updated last year
- ☆18Updated 2 years ago