Python libraries play an important role in the several fields of Machine Learning, Data Science, Data Visualization, etc. Therefore we have compiled the list of best Python libraries available on GitHub.
A Python library is a group of connected modules with a collection of codes for several projects. For the programmer, it simplifies and makes Python programming more practical and effective, saving lots of time.
Interestingly, most Python libraries are written in the C programming language, consisting of more than 200 core modules. But for your convenience, we have compiled the best Python libraries available for GitHub that you can use for different projects.
1. Recmetrics
This is the most accessible library of evaluation metrics and diagnostic tools for recommender systems. The package contains many evaluation metrics for the recommendation system.
2. Surprise
It is an open-source package for developing a recommendation system based on rating data. The package includes all the crucial tools for creating a plan (from loading the dataset, choosing the prediction algorithm, and evaluating the model).
3. DeepCTR
In CTR prediction tasks, DNN-based methods are frequently employed. This collection of deep learning-based CTR models is user-friendly and modular, with numerous fundamental component layers that make it simple to create bespoke models.
4. OpenRec
An open-source library used for recommendation algos inspired by the neural network. This library was developed to reduce the effort of extending and adapting neural recommenders to heterogeneous recommendation scenarios.
5. LightFM
It allows the users to integrate the item and user metadata into the traditional matrix factorization algorithms, making it generalize to new items and the user’s new users.
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