huytransformer / Awesome-Out-Of-Distribution-Detection
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
β876Updated 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
- Benchmarking Generalized Out-of-Distribution Detectionβ922Updated 2 months ago
- π½ Out-of-Distribution Detection with PyTorchβ276Updated last week
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning moβ¦β627Updated 2 months ago
- A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).β805Updated 7 months ago
- A list of papers that studies Novel Class Discoveryβ455Updated last month
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightningβ1,462Updated this week
- The Official Repository for "Generalized OOD Detection: A Survey"β451Updated 2 years ago
- Collection of awesome test-time (domain/batch/instance) adaptation methodsβ851Updated last week
- A curated list of foundation models for vision and language tasksβ937Updated last week
- Open-source framework for uncertainty and deep learning models in PyTorchβ349Updated this week
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.β397Updated 4 months ago
- A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).β529Updated 2 months ago
- Continual Learning papers list, curated by ContinualAIβ604Updated 10 months ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.β332Updated this week
- A curated list of awesome papers on dataset distillation and related applications.β1,525Updated this week
- A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptationβ481Updated 7 months ago
- A curated list of prompt-based paper in computer vision and vision-language learning.β908Updated last year
- Awesome coreset/core-set/subset/sample selection works.β172Updated 7 months ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.β558Updated last year
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolboβ¦β174Updated 9 months ago
- β406Updated 3 years ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...β286Updated 2 weeks ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.β1,487Updated 2 weeks ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)β1,872Updated 6 months ago
- Code for coreset selection methodsβ219Updated last year
- Lightweight, useful implementation of conformal prediction on real data.β843Updated 10 months ago
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!β118Updated last year
- VICReg official code baseβ532Updated last year
- π A curated list of awesome practical Metric Learning and its applicationsβ492Updated last year
- LibAUC: A Deep Learning Library for X-Risk Optimizationβ296Updated 5 months ago