pyod
uncertainty-baselines
Our great sponsors
| pyod | uncertainty-baselines | |
|---|---|---|
| 7 | 3 | |
| 7,928 | 1,360 | |
| - | 1.7% | |
| 7.7 | 5.9 | |
| 17 days ago | 15 days ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | Apache License 2.0 |
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.
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.
uncertainty-baselines
-
Google AI Introduces ‘Uncertainty Baselines Library’ For Uncertainty and Robustness in Deep Learning
Code for https://arxiv.org/abs/2106.04015 found: https://github.com/google/uncertainty-baselines
-
[D] Mixed Precision Training Tips
I know Reddit likes dumping on TensorFlow but it's actually really easy. Set a policy and upcast your final logits to float32.
What are some alternatives?
tods - TODS: An Automated Time-series Outlier Detection System
pytorch-forecasting - Time series forecasting with PyTorch
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
alibi-detect - Algorithms for outlier, adversarial and drift detection
probability - Probabilistic reasoning and statistical analysis in TensorFlow
pycaret - An open-source, low-code machine learning library in Python
deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis
roc_comparison - The fast version of DeLong's method for computing the covariance of unadjusted AUC.