Open source projects are simply the gospel of mankind~ This article will take you to see some of the top players of open source projects in 2017. All projects in the article (except Lab41) were published in 2014 or later, and each has played an important role in its respective community.
TensorFlow
Released in 2015, Google's TensorFlow is a scalable neuron-based machine learning library. We can build pipelines to divide all the content, things like images and text. It's even possible to build complex question scenarios like "Will a user with feature x buy product y?"
Many industries are only seeing machine learning on the surface. Although in the modern sense we can "AI" anything, machine learning is always constrained by computational resources (i.e. computer processors or servers) and training data. Training data will still be a big problem in the next few years, and many people underestimate the amount of training data that needs to be "fed in" in order to successfully solve complex problems. Having said that, machine learning is real and will be present in most of the applications we use every day. We'll also see some interesting projects and hypotheses that stem from the use of machine learning to creatively explain the remaining phenomena of publicly available data.
Hyperledger
Released in 2015, Hyperledge is sponsored by the Linux Foundation to advance the use of blockchain technology in future business. Hyperledger develops modular tools that can serve as a distributed blockchain foundation to solve business problems ranging from secure contracts, anonymous account and identity management, and community-based historical transaction records.
Hyperledger has received cross-industry interest from companies like IBM, Ciso, Red Hat, VMWare, JPMorgan, Wells Faergo, and Accenture.
Node.js / React Native
Let's accept the victory for the Node.js community. Everywhere Node.js democratizes server-side coding for a new generation of programmers. When it comes to React Native, it’s impossible to do without acknowledging that Node.js will continue to be a powerhouse in software engineering, especially for consumer and mobile applications.
React Native launched in 2015: Deploy applications to multiple platforms using a single codebase. For example, use a single codebase to compile Apple's apps for iOS, Android, and the web.
Why is this a sexy idea? We can use the most common language for consumer web pages: javascript. We don't need a team scattered across different language specialties like javascript, ruby/python/php, java and Objective C. We can build quickly. We can leverage native device components for hardware processing such as image processing. We can build around a single application (though not very similar) and bounce our core application to the door of each platform we need.
What else is cool about React Native? Many big companies are using it like Facebook, Tesla, Airbnb, Instagram, Tencent, Bloomberg and Uber.
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