Top 10 Machine Learning Frameworks for AI & ML Experts in 2023

By wordkraft ai

TensorFlow A flexible and powerful framework that can be used for a variety of machine learning tasks, including image classification, natural language processing, and speech recognition.

PyTorch  A popular machine learning framework that is known for its speed and flexibility.

Scikit-learn A versatile machine learning library that is written in Python.

Keras A high-level API that is built on top of TensorFlow

Apache MXNet A distributed machine learning framework that is known for its speed and scalability

CNTK A machine learning framework that is developed by Microsoft.

Theano A machine learning framework that is known for its speed

Caffe A machine learning framework that is known for its simplicity.

Torch A machine learning framework that is developed by Facebook.

XGBoost A machine learning framework that is known for its speed and accuracy in gradient boosting tasks.

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