diff --git a/README.rst b/README.rst index 3cea35bb..1f9f9ed4 100644 --- a/README.rst +++ b/README.rst @@ -67,7 +67,7 @@ Welcome to PyOD, a well-developed and easy-to-use Python library for detecting a **Additional Resources**: -* **NLP Anomaly Detection**: `NLP-ADBench <https://github.com/USC-FORTIS/NLP-ADBench>`_ provides both NLP anonaly detection datasets and algorithms +* **NLP Anomaly Detection**: `NLP-ADBench <https://github.com/USC-FORTIS/NLP-ADBench>`_ provides both NLP anomaly detection datasets and algorithms * **Time-series Outlier Detection**: `TODS <https://github.com/datamllab/tods>`_ * **Graph Outlier Detection**: `PyGOD <https://pygod.org/>`_ * **Performance Comparison & Datasets**: Our 45-page `anomaly detection benchmark paper <https://openreview.net/forum?id=foA_SFQ9zo0>`_ and `ADBench <https://github.com/Minqi824/ADBench>`_, comparing 30 algorithms on 57 datasets @@ -173,8 +173,6 @@ For a broader perspective on anomaly detection, see our NeurIPS papers `ADBench: * `Thresholding Outlier Scores <#thresholding-outlier-scores>`_ * `Implemented Algorithms <#implemented-algorithms>`_ * `Quick Start for Outlier Detection <#quick-start-for-outlier-detection>`_ -* `How to Contribute <#how-to-contribute>`_ -* `Inclusion Criteria <#inclusion-criteria>`_ ----