manuelhaussmann Goto Github PK
Name: Manuel Haussmann
Type: User
Company: Syddansk Universitet
Bio: Potsdoctoral Researcher at Syddansk Universitet
Name: Manuel Haussmann
Type: User
Company: Syddansk Universitet
Bio: Potsdoctoral Researcher at Syddansk Universitet
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
:alarm_clock: AI conference deadline countdowns
May 2 - May 4, Valencia, Spain
Bayesian Data Analysis course at Aalto
Bayesian Evidential Deep Learning with PAC Regularization
Reference Implementation for Bayesian Neural SDEs
Bayesian Prior Networks with PAC Training
Acceptance rates for the major AI conferences
Course notes for CS228: Probabilistic Graphical Models.
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
A highly efficient implementation of Gaussian Processes in PyTorch
Hands on scientific computing program
A utility library around PyTorch
Estimating treatment effects from single-arm trials via latent-variable modeling
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
Powerful and highly extensible command-line based document and bibliography manager.
Examples of PyMC models, including a library of Jupyter notebooks.
Deep universal probabilistic programming with Python and PyTorch
Deep Active Learning with Adaptive Acquisition.
Feel free to clone and add interesting machine learning papers/references in the appropriate category.
Statistical Rethinking course and book package
Aalto scientific computing guide: former Triton user guide + more info
Slides from meetup presentations.
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
Variational Bayesian Multiple Instance Learning with Gaussian Processes
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.