chemprop
Message Passing Neural Networks for Molecule Property Prediction (by chemprop)
pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection) (by yzhao062)
chemprop | pyod | |
---|---|---|
1 | 7 | |
1,558 | 7,962 | |
3.5% | - | |
9.9 | 7.5 | |
3 days ago | 4 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
chemprop
Posts with mentions or reviews of chemprop.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-25.
-
Project Update 20201131
There have been many attempts at this, the most sucessful of which is MIT's ChemProp, which we are actively working on tuning for our goals!
pyod
Posts with mentions or reviews of pyod.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-13.
-
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.