examples VS Ordinal_Classifier

Compare examples vs Ordinal_Classifier and see what are their differences.

examples

📝 Examples of how to use Neptune for different use cases and with various MLOps tools (by neptune-ai)
Mlops Pytorch Tensorflow Keras optuna Fastai Xgboost Pandas Visualization Dashboard ML Compare Pipelines Metadata Store Experiment Tracker Tracking Jupyter Sklearn
Source Code
neptune.ai
Suggest alternative
Edit details

Ordinal_Classifier

Introduce order in your classification within 1 line (by mosh98)
Classification Ordinal ordinal-regression Sklearn
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
examples Ordinal_Classifier
1 1
66 8
- -
9.1 10.0
3 days ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT 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.

examples

Posts with mentions or reviews of examples. We have used some of these posts to build our list of alternatives and similar projects.

Ordinal_Classifier

Posts with mentions or reviews of Ordinal_Classifier. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing examples and Ordinal_Classifier you can also consider the following projects:

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.

examples vs kfserving Ordinal_Classifier vs coral-ordinal examples vs Traffic-Lights-Classification-CNN examples vs ee_repository_stats examples vs ststats examples vs multi-object-tracking-in-python examples vs quick-deploy examples vs mfp-wrapped examples vs fastpages examples vs will-sh3-b33 examples vs polyaxon examples vs zenml