Top 10 Best Machine Learning Frameworks to Use in 2022

This article features the top ten machine learning frameworks you can use in 2022 and beyond.

Machine learning is part of artificial intelligence, a technology that has been around for a long time and is now everywhere. Machine learning tools and frameworks have made it much friendlier to the IT industry. A few decades ago, it was hard to imagine the use of technology like machine learning, but today machine learning is applied in various sectors, for example, in healthcare, it is applied to medical imaging, natural language processing of medical documents and genetic information. . Machine Learning (ML) is rapidly transforming almost every sphere of human life. From the way people communicate to transportation, people seem to be becoming more and more dependent on this technology. This article outlines the top ten machine learning frameworks you can use in 2022 and beyond.

What is a Machine Learning Framework?

A simple definition could be to think of it as a tool or library that allows developers to easily create ML models or machine learning applications without having to go into basic or basic algorithm details.

Tensor flow

It is an open source library developed by Google Brain which is used to process complex data sets and perform high volume numerical calculations. Tech giants like Nvidia, Google, Intel, and SAP use Tensorflow. It allows developers to ship counterfeit neural systems with massive data sets after configuring and training them. It is one of the best machine learning frameworks you can use in 2022.

TorchPy

PyTorch is a machine learning framework developed by Facebook. Its source code is available on GitHub, where it currently has over 22,000 stars. It has gained significant momentum since 2017 and is experiencing relentless growth in reception. It is one of the best machine learning frameworks you can use in 2022.

Sci-Kit Learn

Sci-Kit Learn supports development work in Python with a comprehensive library for the Python programming language. Sci-Kit Learn is one of the best for data mining and data analysis. As it provides support for designing algorithms and models for classifications, clustering, pre-processing, regression, dimensionality reduction and model selection.

Spark ML

Spark ML can run in clusters. In other words, it can handle large matrix multiplication by taking slices of the matrix and running that computation on different servers. (Matrix multiplication is among the crucial ML operations.) It is one of the best machine learning frameworks you can use in 2022.

Keras

Keras is a high-level ML API that can run on top of TensorFlow, Microsoft Cognitive Toolkit, and Theano. Its ease of use and focus on developer experience make Keras the benchmark for rapid prototyping of new applications. It is one of the best machine learning frameworks you can use in 2022.

Microsoft Cognitive Toolkit (CNTK)

CNTK can be included in projects as a library in different languages ​​or used as a standalone machine learning tool thanks to its model description language called BrainScript. Skype, Bing, Cortana and other brands use the commercial-grade toolkit with massive datasets that require a scalable and highly optimized machine learning platform.

Shogun

Shogun is an open source machine learning framework that works well with C++. Again, it is free and essential for developers to design algorithms and data structures, especially for ML problems in industries such as education and research. It is one of the best machine learning frameworks you can use in 2022.

Auto ML

Auto ML is the most robust and relatively recent addition to the arsenal of tools available to a machine learning engineer. As you know, optimizations are essential in machine learning tasks. So people step into a modern world of meta, where software helps to create software. AutoML is a machine learning library that many developers use to fine-tune their models.

huggingface.co

One of the best machine learning libraries is huggingface.co, which creates good base models for researchers built on top of TensorFlow and PyTorch. They adapt complicated tools, such as GPT-2, to easily work on your machine. It is one of the best machine learning frameworks you can use in 2022.

Torch

Torch claims to be the simplest machine learning framework. It is an old machine learning library, first released in 2002. Before, with PyTorch, Python was the chosen method to access the fundamental tables in which Torch performed its calculations. The torch itself can be used using Lua, with the LuaRocks package manager.

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Sherry J. Basler