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dtu_mlops
Exercises and supplementary material for the machine learning operations course at DTU.pl_crossvalidate
ddtn
Repository for our upcoming code, that we used for our "Deep diffeomorphic transformer networks" paper (Accepted to CVPR 2018). Will be update during the spring of 2018.libcpab
CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy, Tensorflow and Pytorchcuda_expm
Matrix exponential in cuda for pytorch and tensorflowmlops_template
john
py_uci
Python library for loading data from the UCI Machine Learning Repositoryku_devops
unsuper
Some unsupervised algorithmspytorch-metrics
Metrics for pytorchexample_mlops
pytorchtape
cusolver_example
Example of calling cusolver from python by using pytorchcalibrated_vae
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