Top Machine Learning Frameworks

Machine learning is a powerful technology running in today’s time. every company or business from small to big is using machine learning to grow up in their field.

so these are the most used and popular tools and frameworks that are used in machine learning.

Machine learning tools and Frameworks.

1. Tensorflow
2. Keras
3. Edward
4. Scikit-learn
5. Lime

Tensorflow

TensorFlow is a framework that is built by Google and also owned by Google. it’s used for image processing and object detection and a deep learning framework that is used to build computational models using neural networks. it is used to know about back-propagate errors using the computational graph. for building any type of network and training that network TensorFlow is used.

Keras

Keras is a deep-learning framework with a high-level interface. it is the second-fastest-growing deep learning framework. using Keras we can easily train a model with this framework.

Edward

Edward is a tool that is built on top of the TensorFlow framework. it’s built using statistics, machine learning, and probabilistic programming. it has many features that are used a lot like distributed training, GPU integration, computational graphs, and automation and now officially Edward integrated into TensorFlow code.

Scikit-learn

scikit learn is a tool that is integrated tool for data preprocessing and data mining. it contains almost every machine learning model like linear and logistic regression, random forest, etc.

Lime

Lime stands for local interpretable model-agnostic explanations. and is a package that is easy to use. it’s used for predictions for machine learning classifiers. it’s used to find the decisions for models.

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