martenlienen Goto Github PK
Name: Marten Lienen
Type: User
Company: TUM
Twitter: martenlienen
Location: Germany
Blog: https://martenlienen.com
Name: Marten Lienen
Type: User
Company: TUM
Twitter: martenlienen
Location: Germany
Blog: https://martenlienen.com
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Generate visual overlays from your i3 bindings
Computations with Arbitrarily Distributed Random Variables
A file system that syncs with your mailbox
This is the official code release for Bayesian Flow Networks.
A very basic implementation of Bayes by Backprop
brezn runs your computational experiments
The equivalent of cached_property for methods
Camera obscura built as part of the computer vision class at HHU
Official Ruby on Rails specific tasks for Capistrano
Matching athletes and workouts with linear programming for the CFM 12h Hero WOD 2023
The Python programming language
CUDA programming in Julia.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Lookup and insert translations from dict.cc without leaving emacs
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
My config files
Game project for ProPra13 at HHU Düsseldorf
This repository provides software to our publication "Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation", BMVC 2016
Execute blocks in a manipulatable environment
Unlock your phone with your face using learned embeddings
Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022
Simplified packaging of Python modules
If you call the parameter x, why not leave out the name in the first place?
Yet another Futures implementation in Ruby
Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
Geometric loss functions between point clouds, images and volumes
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.