huytransformer / Awesome-Out-Of-Distribution-DetectionLinks
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
☆938Updated 3 months ago
Alternatives and similar repositories for Awesome-Out-Of-Distribution-Detection
Users that are interested in Awesome-Out-Of-Distribution-Detection are comparing it to the libraries listed below
Sorting:
- Benchmarking Generalized Out-of-Distribution Detection☆982Updated 2 weeks ago
- 👽 Out-of-Distribution Detection with PyTorch☆308Updated 2 months ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆722Updated this week
- Collection of awesome test-time (domain/batch/instance) adaptation methods☆1,057Updated last month
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,508Updated 2 weeks ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆424Updated this week
- A curated list of foundation models for vision and language tasks☆1,077Updated 2 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,524Updated 2 months ago
- Code for coreset selection methods☆240Updated 2 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆487Updated last year
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- DomainBed is a suite to test domain generalization algorithms☆1,536Updated 7 months ago
- A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).☆849Updated last year
- 😎 A curated list of awesome practical Metric Learning and its applications☆512Updated 2 years ago
- Awesome coreset/core-set/subset/sample selection works.☆178Updated last year
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆867Updated this week
- Awesome things about domain generalization, including papers, code, etc.☆474Updated 4 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆933Updated 2 months ago
- A curated list of awesome Active Learning☆774Updated 10 months ago
- A list of papers that studies Novel Class Discovery☆499Updated 3 weeks ago
- Continual Learning papers list, curated by ContinualAI☆653Updated last year
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆181Updated last year
- A curated list of trustworthy deep learning papers. Daily updating...☆373Updated last week
- 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
- ☆418Updated 4 years ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆781Updated 2 months ago
- A Unified Semi-Supervised Learning Codebase (NeurIPS'22)☆1,518Updated last week
- A curated list of awesome papers on dataset distillation and related applications.☆1,763Updated last week
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆186Updated last year
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆358Updated last month