Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by SkafteNicki
A curated list of projects in awesome lists by SkafteNicki .
https://github.com/skaftenicki/dtu_mlops
Exercises and supplementary material for the machine learning operations course at DTU.
Last synced: 03 Jan 2025
https://github.com/SkafteNicki/dtu_mlops
Exercises and supplementary material for the machine learning operations course at DTU.
Last synced: 07 Nov 2024
https://github.com/skaftenicki/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.
Last synced: 22 Oct 2024
https://github.com/skaftenicki/libcpab
CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy, Tensorflow and Pytorch
diffiomorphic-transformations numpy pytorch tensorflow
Last synced: 22 Oct 2024
https://github.com/skaftenicki/cuda_expm
Matrix exponential in cuda for pytorch and tensorflow
Last synced: 23 Oct 2024
https://github.com/SkafteNicki/cuda_expm
Matrix exponential in cuda for pytorch and tensorflow
Last synced: 30 Oct 2024
https://github.com/skaftenicki/py_uci
Python library for loading data from the UCI Machine Learning Repository
Last synced: 24 Oct 2024
https://github.com/skaftenicki/cusolver_example
Example of calling cusolver from python by using pytorch
Last synced: 15 Dec 2024
https://github.com/skaftenicki/lmnn_matlab
Matlab implementation of the large margin nearest neighbor algorithm
Last synced: 15 Dec 2024
https://github.com/skaftenicki/vae_variance_funcs
Trying to fix the arbitrariness of the variance function in VAEs
Last synced: 15 Dec 2024
https://github.com/skaftenicki/pyclust
My own personal scripts for easy working with the cluster at my work
Last synced: 15 Dec 2024
https://github.com/skaftenicki/cpab_da
Implementation that utilitze CPAB transformations for learning a facial data augmentation model. The model is then used to generate synthetic facial images that is used to improve performance of a neural network trained to do facial verification.
Last synced: 15 Dec 2024