28 open-source projects similar to alinlab/csi, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
Cleanlab is a data-centric AI library and toolkit designed to improve machine learning model performance by detecting label errors and increasing overall dataset quality. It implements a confident learning framework that iteratively refines label noise estimates by comparing model predictions with estimated label probabilities to identify mislabeled examples. The project provides specialized utilities for active learning optimization, allowing for the selection of the most impactful examples for labeling or re-labeling. It also includes an outlier detection tool to identify atypical data poin
Elsa: Energy-based Learning forSemi-supervised Anomaly Detection Official PyTorch implementation of "Elsa: Energy-based Learning forSemi-supervised Anomaly Detection" (BMVC 2021) by Sungwon Han, Hyeonho Song, Seungeon Lee, Sungwon Park, Meeyoung Cha.
E3Outlier: Effective End-to-end Unsupervised Outlier Detection
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
SSD: A Unified Framework for Self-Supervised Outlier Detection ICLR 2021
Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification . NeurIPS2021
Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' AAAI 2022 Oral