autoembedder
pyod
| autoembedder | pyod | |
|---|---|---|
| 1 | 7 | |
| 8 | 7,994 | |
| - | - | |
| 0.0 | 7.5 | |
| 16 days ago | about 18 hours 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.
autoembedder
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How to learn Categorial Embeddings in Unsupervised Learning?
Solutions I found here and here propose to save the Input Batch as a in a variable after feeding it into the Embeddings Layer (but before the AE) and use that as the target for the loss function.
pyod
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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
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Analyze defects and errors in the created images
PyOD
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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
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[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?
ds2 - Easiest way to use AI models without coding (Web UI & API support)
tods - TODS: An Automated Time-series Outlier Detection System
wysiwyh - A neural net to transform a video into audio in real time.
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
alibi-detect - Algorithms for outlier, adversarial and drift detection
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
pycaret - An open-source, low-code machine learning library in Python
poutyne - A simplified framework and utilities for PyTorch
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
attention-mixed-type-clustering - Attention in Mixed-Type Clustering
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis