bobye/vislab
Set of modules and datasets for visual recognition.
Discrete Matrix Factorization with Cramer Risk Minimization
This repository is cataloged as part of our automated global GitHub synchronization. Full telemetry, velocity snapshots, and code summaries are scheduled for continuous enrichment.
Set of modules and datasets for visual recognition.
Minerva: a fast and flexible tool for deep learning. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy. Please refer to the examples to see how multi-GPU setting is used.
Lightweight Yet Fast Scala implementation of CART
Fast discrete distributions clustering using Wasserstein barycenter with sparse support