pycm
pyod
| pycm | pyod | |
|---|---|---|
| 18 | 7 | |
| 1,430 | 7,962 | |
| - | - | |
| 1.5 | 7.5 | |
| 4 days ago | 4 days ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pycm
- PyCM 4.0 Released: Multilabel Confusion Matrix Support
- PyCM 3.9 Released: Log-loss Support
- PyCM 3.8 Released: Distance/Similarity Support
-
[P] PyCM 3.7 released: ROC curve and Precision-Recall curve are added
The complete change log of this version is available here.
- PyCM 3.7 Released: ROC/PR Curve Support
- PyCM 3.6 released: Multi-class confusion matrix library in Python
- PyCM 3.5 released: Multi-class confusion matrix library in Python
- PyCM 3.4 released: Multi-class confusion matrix library in Python
- [P] PyCM 3.3 released: Comparison of Classifiers Based on Confusion Matrix
pyod
-
A Comprehensive Guide for Building Rag-Based LLM Applications
This is a feature in many commercial products already, as well as open source libraries like PyOD. https://github.com/yzhao062/pyod
-
Analyze defects and errors in the created images
PyOD
-
Multivariate Outlier Detection in Python
Check out the algorithms and documentation in this toolkit. It’ll give you a list of methods to read up on to understand their mechanisms. https://github.com/yzhao062/pyod
- Pyod – A Comprehensive and Scalable Python Library for Outlier Detection
- Predictive Maintenance and Anomaly Detection Resources
-
[D] Unsupervised Outlier Detection - Advise Requested
The source code and documentaion of PyOD is the best survey about OOD. Besides, the normalized flow and VQVAE are also feasible.
- PyOD: ~50 anomaly detection algorithms in one framework.
What are some alternatives?
seq2seq - A general-purpose encoder-decoder framework for Tensorflow
tods - TODS: An Automated Time-series Outlier Detection System
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
alibi-detect - Algorithms for outlier, adversarial and drift detection
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
pycaret - An open-source, low-code machine learning library in Python
pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis