pytensor
pycm
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pytensor | pycm | |
---|---|---|
1 | 18 | |
244 | 1,429 | |
11.5% | - | |
9.5 | 5.0 | |
5 days ago | 2 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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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.
pytensor
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[D] Programming language for developing computational statistics algorithms
I wouldn't overlook also how many goodies these existing PPLs are coming with. Starting from scratch means that one would have code up all the utilities to assess convergence, chain properties, etc. etc. on their own. And more advanced tricks like auto-differentiations that by themselves are huge perks are also unavailable (goodbye easy ADVI). For example PyMC, now uses Numba and JAX (via Aesara/PyTensor depending on your version), so theoretically (and practically) you can include arbitary PyTensor/JAX code in your model. I use PyMC as an example here, but this extends to most other PPLs too depending on their backends.
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
What are some alternatives?
stan - Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
seq2seq - A general-purpose encoder-decoder framework for Tensorflow
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
ANN-decompiler - "AI" demystified: a decompiler
dzetsaka - dzetsaka : classification plugin for Qgis
mlreef - The collaboration workspace for Machine Learning
EvalAI - :cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI