A collection of resources to learn object-oriented programming and related concepts for PHP developers.

💎 The Principles of OOD (SOLID) based on Uncle Bob articles.

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

Various Low Level Object Oriented System Design problems are discussed in this space

Domain-driven design example in Java with Spring framework

[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

We leverage 14 datasets as OOD test data and conduct evaluations on 8 NLU tasks over 21 popularly used models. Our findings confirm that the OOD accuracy in NLP tasks needs to be paid more attention to since the significant performance decay compared to ID accuracy has been found in all settings.

System design and Object Oriented Design (OOD) related interview problems and solutions.

A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.

💠 Essential object oriented design (python, pytest, travisCI)

Paper of out of distribution detection and generalization

Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020

A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

Official code and data for NeurIPS 2023 paper "ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification"

Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]

A curated list of Robust Machine Learning papers/articles and recent advancements.

Out-of-distribution detection using the pNML regret. NeurIPS2021

[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"