Open Source Libraries to build machine learning models

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Some popular open-source libraries for building machine learning models:

  1. TensorFlow: As mentioned earlier, TensorFlow is an open-source library for dataflow and differentiable programming, widely used for building machine learning models.

  2. Scikit-learn: This library is built on top of NumPy and SciPy and is designed for data mining and data analysis. It provides a wide range of tools for model fitting, including linear and logistic regression, support vector machines, decision trees, and more.

  3. Keras: Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It is a user-friendly and easy to use library to quickly build deep learning models.

  4. PyTorch: PyTorch is an open-source machine learning library based on the Torch library. It provides a seamless integration of computation graph with deep learning models and it is widely used in computer vision and natural language processing tasks.

  5. XGBoost: XGBoost is a library for gradient boosting decision trees, which is an efficient and widely used method for fitting a variety of models, including linear and logistic regression, decision trees, and more.

  6. LightGBM: LightGBM is a gradient boosting framework that uses tree-based learning algorithms. It is designed to be efficient and scalable, making it well-suited for large datasets.

  7. CatBoost: CatBoost is an open-source gradient boosting library that is especially effective with categorical features. It is designed to handle missing values and categorical features, making it a good choice for datasets with a lot of categorical variables.

  8. RandomForest: RandomForest is an open-source library for building random forest models, which are a type of ensemble model that can be used for both classification and regression tasks.

These are some of the most popular open-source libraries for building machine learning models, but there are many other options available as well, depending on the specific needs of your project.


Farees Ahmed

The aim of this blog is to serve as a quick reference guide for the Curious. Appreciate your feedback and comments !