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Name: Nicki Skafte Detlefsen
Type: User
Bio: Postdoc at section for Cognitive Systems (CogSys), Technical University of Denmark (DTU). Main focus: Generative models and geometrical deep learning.
Location: Denmark
Name: Nicki Skafte Detlefsen
Type: User
Bio: Postdoc at section for Cognitive Systems (CogSys), Technical University of Denmark (DTU). Main focus: Generative models and geometrical deep learning.
Location: Denmark
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
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.
CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields. Based on [Freifeld et al., ICCV '15]
Matrix exponential in cuda for pytorch and tensorflow
Example of calling cusolver from python by using pytorch
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.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
LMNN algorithm in tensorflow
Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow
Exercises and supplementary material for the machine learning operations course at DTU.
Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy, Tensorflow and Pytorch
Matlab implementation of the large margin nearest neighbor algorithm
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
My own personal scripts for easy working with the cluster at my work
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Metrics for pytorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.