Statistical Consequences of Fat Tails : Nassim Nicholas Taleb book investigates the misapplication of conventional statistical techniques to fat-tailed distributions and looks for remedies
AutoML Zero : aims to automatically discover computer programs that can solve machine learning tasks, starting from empty or random programs and using only basic math operations. The goal is to simultaneously search for all aspects of an ML algorithm—including the model structure and the learning strategy—while employing minimal human bias.
Sno : Distributed version-control for geospatial and tabular data
Tactical manuals and guides for startups : an awesome collection of strategic posts, essays or documents for startups. While these are great resources, it doesn't replace experience.
AutoML Pipeline : The power of Juila meet Machine learning. However, beware as just feeding data into a system and hoping to get the best result coming out without any effort is doomed to deliver sub-optimal results. Often you end up with an ok-ish solution that blows up in production down the line.
OpenEuler : Huawei Linux distribution, interesting side project is A-tune which relies on AI for identifying the workload that runs on your the OS and tries to tune it to optimise its performance.
AutoGluon : AutoGluon enables easy-to-use and easy-to-extend AutoML with a focus on deep learning and real-world applications spanning image, text, or tabular data. [github]
k3c : kubernetes but lightweight and easy to use for container development
