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A wrist-friendly language targeting the Common Language Runtime (.NET / Mono) with an extensible compiler pipeline, a syntax reminiscent of Python, and many other features (like type inference, syntactic macros, etc.)
Estela is a Domain Specific Language for ML model implementation (and testing). It is an Object Oriented Language (but not Object Oriented Obsessed like Smalltalk). Estela's API is composed by two parts: small generic API (e.g. Generic types like Integer, Double, String, Date and Object) and a
A SYSTEM FOR SHAPE ANALYSIS AND RECOGNITION. This project wrapps up a collection of methods developed by students from the CreatiVision Group at IME-USP along the past years within a single software written in standard C++. It is primarily aimed at shape analysis and recognition. LICENSE: This
neuralpso is an in-progress project which I hope to submit to the Los Angeles County Science Fair. The purpose of the project is to develop software capable of tuning a neural network by means of particle swarm optimization. You can view my research log as I develop this project.
In this project we implements the K-means and Nearest Neighbor algorithms to identify clusters within an input sample. We write a data-set creating script.
A framework that allows researchers to build high-performance kernel-based learning algorithms without the concern for distributed and parallel computation.
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