leoandeol / codsLinks
π CODS - Conformal Object Detection and Segmentation
β14Updated 2 weeks ago
Alternatives and similar repositories for cods
Users that are interested in cods are comparing it to the libraries listed below
Sorting:
- Conformal prediction for uncertainty quantification in image segmentationβ23Updated 7 months ago
- Uncertainty-aware representation learning (URL) benchmarkβ105Updated 4 months ago
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see htβ¦β31Updated 3 weeks ago
- β37Updated 2 weeks ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.β58Updated 2 weeks ago
- Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)β13Updated 2 months ago
- Large-scale uncertainty benchmark in deep learning.β60Updated 2 months ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)β18Updated last year
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024β28Updated 10 months ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layersβ96Updated 4 months ago
- Documentationβ29Updated last week
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.β12Updated last year
- π Overcomplete is a Vision-based SAE Toolboxβ67Updated 3 months ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy MLβ12Updated 2 years ago
- β17Updated 10 months ago
- Open-source framework for uncertainty and deep learning models in PyTorchβ409Updated 3 weeks ago
- π Influenciae is a Tensorflow Toolbox for Influence Functionsβ63Updated last year
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"β20Updated 3 years ago
- β34Updated 2 years ago
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β65Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classiβ¦β130Updated 2 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, β¦β83Updated 2 years ago
- Deep Networks Grok All the Time and Here is Whyβ37Updated last year
- Code for experiments to learn uncertaintyβ30Updated 2 years ago
- Efficiently Composable Data Augmentation on the GPU with Jaxβ37Updated 2 months ago
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"β22Updated last year
- Self-Supervised Learning in PyTorchβ138Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertaintyβ142Updated 2 years ago
- Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlightβ107Updated 5 months ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processesβ52Updated 4 years ago