WeatherInterpolation VS pycaret

Compare WeatherInterpolation vs pycaret and see what are their differences.

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WeatherInterpolation pycaret
1 5
0 8,428
- 1.2%
0.0 9.4
over 2 years ago 9 days 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.

WeatherInterpolation

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

pycaret

Posts with mentions or reviews of pycaret. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-13.

What are some alternatives?

When comparing WeatherInterpolation and pycaret you can also consider the following projects:

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

azureml-examples - Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

tiler - GliGli's TileMotion video codec (data science / machine learning inspired; trivially simple to decode)

anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes