protein-bert-pytorch
pyod
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| protein-bert-pytorch | pyod | |
|---|---|---|
| 2 | 7 | |
| 137 | 7,928 | |
| - | - | |
| 0.0 | 7.7 | |
| over 2 years ago | 16 days ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" License |
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protein-bert-pytorch
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?
tape - Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
tods - TODS: An Automated Time-series Outlier Detection System
student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
alibi-detect - Algorithms for outlier, adversarial and drift detection
provis - Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."
pycaret - An open-source, low-code machine learning library in Python
evodiff - Generation of protein sequences and evolutionary alignments via discrete diffusion models
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis
pymiere - Python for Premiere pro