SkafteNicki
Postdoc at section for Cognitive Systems (CogSys), Technical University of Denmark (DTU). Main focus: Generative models and geometrical deep learning.
Denmark
Pinned Repositories
cuda_expm
Matrix exponential in cuda for pytorch and tensorflow
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.
dtu_mlops
Exercises and supplementary material for the machine learning operations course at DTU.
john
ku_devops
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
mlops_template
pl_crossvalidate
py_uci
Python library for loading data from the UCI Machine Learning Repository
unsuper
Some unsupervised algorithms
SkafteNicki's Repositories
SkafteNicki/dtu_mlops
Exercises and supplementary material for the machine learning operations course at DTU.
SkafteNicki/pl_crossvalidate
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
SkafteNicki/mlops_template
SkafteNicki/ku_devops
SkafteNicki/john
SkafteNicki/py_uci
Python library for loading data from the UCI Machine Learning Repository
SkafteNicki/unsuper
Some unsupervised algorithms
SkafteNicki/pytorch-metrics
Metrics for pytorch
SkafteNicki/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
SkafteNicki/example_mlops
SkafteNicki/pytorchtape
SkafteNicki/calibrated_vae
SkafteNicki/cusolver_example
Example of calling cusolver from python by using pytorch
SkafteNicki/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
SkafteNicki/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
SkafteNicki/delira
Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow
SkafteNicki/gcp_docker_example
SkafteNicki/gcp_monitoring_test
SkafteNicki/gh_tester
SkafteNicki/gha_dvc_test
SkafteNicki/hvae-oodd
Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
SkafteNicki/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
SkafteNicki/just-the-docs
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
SkafteNicki/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
SkafteNicki/scikit-learn
scikit-learn: machine learning in Python
SkafteNicki/SkafteNicki.github.io
My Github pages personal webpage
SkafteNicki/tape
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
SkafteNicki/tape-1
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
SkafteNicki/vision
Datasets, Transforms and Models specific to Computer Vision