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• rubyml
• machine-learning
• ruby
• ml

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

• svm
• regression
• classification
• machine-learning

InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

• deep-learning-library
• dynamic-batching
• nlp

Prototype of an intelligent safety system for detecting driver drowsiness

• cpp
• cuda
• cudnn
• driver-drowsiness-detector

A Ruby interface to the Timbl machine-learning library

Header-only C++11 library using OpenCV for high-throughput image-based plant phenotyping

• plant-phenotyping
• opencv
• charuco
• color-correction