examples
Ordinal_Classifier
examples | Ordinal_Classifier | |
---|---|---|
1 | 1 | |
66 | 8 | |
- | - | |
9.1 | 10.0 | |
3 days ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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.
examples
Ordinal_Classifier
-
Ordinal Regression using sklearn
Here i made a package for doing ordinal regression using sklearn classifier: https://github.com/mosh98/Ordinal_Classifier
What are some alternatives?
kfserving - Standardized Serverless ML Inference Platform on Kubernetes [Moved to: https://github.com/kserve/kserve]
coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
Traffic-Lights-Classification-CNN - Coding and testing a convolutional neural network for classifying traffic lights, with Keras and Tensorflow, using LISA dataset.
ee_repository_stats - Scraping, parsing, and analyzing every public Earth Engine repository
ststats - UK Specialty Training Stats
multi-object-tracking-in-python - 📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍
quick-deploy - Optimize, convert and deploy machine learning models as fast inference API using Triton and ORT. Currently support Hugging Face transformers, PyToch, Tensorflow, SKLearn and XGBoost models.
mfp-wrapped - Data app to provide analytics for myfitnesspal users: a calorie counter and food journal
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
will-sh3-b33 - Will you ever find love?
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.