pycm
knowledge-repo
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pycm | knowledge-repo | |
---|---|---|
18 | 2 | |
1,429 | 5,432 | |
- | 0.3% | |
5.0 | 4.1 | |
2 months ago | 9 months ago | |
Python | Python | |
MIT 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.
pycm
- PyCM 4.0 Released: Multilabel Confusion Matrix Support
- PyCM 3.9 Released: Log-loss Support
- PyCM 3.8 Released: Distance/Similarity Support
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[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
knowledge-repo
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How do you document a ML research?
While a start, a few that just being a markdown is editor is not enough, GitHub and GitLab already have this sort of wiki. I feel something like https://github.com/airbnb/knowledge-repo provides a better experience, since it gives an incentive for Data Scientists to make their source notebook well documented, and be a SSoT. With a Wiki like, if you change something on the original project, you need to remind yourself to update your reports. If your notebook is in itself your report, that's not necessary. Plus, it would benefit from the Semantic Diffs that DagsHub already have implemented.
- How does everyone share their models etc. across teams for re-use effectively?
What are some alternatives?
seq2seq - A general-purpose encoder-decoder framework for Tensorflow
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
superset - Apache Superset is a Data Visualization and Data Exploration Platform
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
akshare - AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库 [Moved to: https://github.com/akfamily/akshare]
pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
scikit-learn - scikit-learn: machine learning in Python
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
akshare - AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库