A lot happened in the machine learning community during the past year. It ranges from photo editing to NLP to training models with "no-code," and I hope they inspire you to build incredible AI-powered products this year. Background Matting v2 takes a cue from the popular The World is Your Green Screen open-source project and showcases how to remove or change the background in real-time. It gives better performance (30fps at 4K and 60fps at FHD) and can be used with Zoom, the popular videoconferencing app. The technique uses an additional captured frame of the background and uses it in recovering the alpha matte and the foreground layer.

For the past year, we've compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0.3% chance). This is an extremely competitive list and it carefully picks the best open source Machine Learning libraries, datasets and apps published between January and December 2017. Mybridge AI evaluates the quality by considering popularity, engagement and recency. To give you an idea about the quality, the average number of Github stars is 3,558. Open source projects can be useful for data scientists.