We have seen so many popular technological innovations in recent years that have made our lives a lot simpler than what it used to be. Machine learning is one of those innovations that have taken the world by a storm. Its applications go far beyond what we see today.

Machine learning, if properly used, has the potential of transforming more than a few aspects or areas of our daily lives. So, how does  machine learning technology do all of this? With the help of algorithms that model systems without requiring them to be explicitly programmed. It is great for data analysis as well as automating the processes for creating analytical models.

What doe ML has to do with GitHub? Machine learning involves data-based predictions and algorithm study, and now it has found newer possibilities with GitHub. In this blog, we will list some of the most popular machine learning projects on GitHub. These will be only a few of the more than 100 million projects hosted on GitHub.

What is machine learning?

Machine learning adheres to a well-defined process that includes data preparation, algorithm training, machine learning model generation, and finally, making and improving predictions. Machine learning is based on a very general notion that some basic algorithms have the power of finding out something very interesting within data sets. And the best part is that you don’t have to write any code to get this done. Instead, you will be required to provide the algorithm with data, on which it will base its logic.

Their are different  types of machine learning, let us take an example to understand this in a better way. We have a type of algorithm that is known as the classification algorithm. It divides data into separate groups. This algorithm can be used to separate spam from your emails and identify handwritten numbers without having you change the code even slightly. The algorithm remains the same but the difference in its classification logic comes from the different training data it is given.

What is GitHub?

GitHub is an open-source application that is used to store code on the web. It can be used in several different ways. You can use it to store your projects on the cloud for free or as your online portfolio that let’s potential employers see how good you are at coding. Still, it won’t be wrong to say that GitHub is a lot more than what meets the eye.

It’s not just your code storage; it is rather a tool that is used by developers worldwide to collaborate on projects. It helps developers and teams to improve their codes by having a pool of other developers located in different locations making their valuable contributions.

Top 7 machine learning projects on GitHub

1. Neural Classifier (NLP)

2. MedicalNet

3. TDEngine

4. BERT

5. Video object removal

6. Aweome-TensorFlow

7. FacebookResearch’s fastText

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