gasteigerjo Goto Github PK
Name: Johannes Gasteiger, né Klicpera
Type: User
Company: Google Research
Bio: Research Scientist. Safety for ML. ML for graphs.
Twitter: gasteigerjo
Location: Zürich, Switzerland
Name: Johannes Gasteiger, né Klicpera
Type: User
Company: Google Research
Bio: Research Scientist. Safety for ML. ML for graphs.
Twitter: gasteigerjo
Location: Zürich, Switzerland
Implementation of "Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks"
A web app for ranking computer science departments according to their research output in selective venues.
DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)
Utilities
Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)
RAdam implemented in Keras
Proof-of-concept of using a khash-based hashmap in Numba
Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)
Monte Carlo and parallel tempering routines built on the pele foundation
The Molecular Dynamics teaching code.
mirror of neo-layout svn
https://opencatalystproject.org/
Python energy landscape explorer
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Parallel Unstructured Mesh Library
Python wrapper for the Hager and Zang CG_DESCENT algorithm
Accurate, efficient Earth Mover's Distance for Python (and MATLAB).
Geometric Deep Learning Extension Library for PyTorch
Automatic rough fault generator for SeisSol
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Implementation of the certificates proposed in the paper "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More"
Unofficial implementation of Rectified Adam for TensorFlow v1.
Source code for Turbulent Flow Simulation on HPC-Systems
Proceedings of ICML 2020
Proceedings of ICML 2021
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.