ingmarschuster Goto Github PK
Name: Ingmar Schuster
Type: User
Company: Exazyme
Twitter: IngmarSchuster
Location: Berlin
Blog: exazyme.com
Name: Ingmar Schuster
Type: User
Company: Exazyme
Twitter: IngmarSchuster
Location: Berlin
Blog: exazyme.com
Scripts to perform active learning as described in the referenced article.
Implementation of Bayes Nets and accompanying data types in idiomatic Julia. Follows Daphne Kollers Probabilistic Graphical Models lecture.
Package implementing various parametric and nonparametric methods for conditional density estimation
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Datasets, posteriors, gradients for Python experiments with Monte Carlo/Optimization methods
Distributions related code for Python and numpy/scipy
A Julia package for probability distributions and associated funtions.
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Flax is a neural network library for JAX that is designed for flexibility.
A fast and flexible algorithm for solving the graph-fused lasso
Weighted Hypergraphs using GPs
Gaussian processes in JAX.
Chemical property prediction in the low data limit using GPT
Gaussian processes framework in python
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The Julia Language: A fresh approach to technical computing.
Random kitchen sink version of Kameleon MCMC
Kernel Conditional Exponential Family
KL-divergence estimation in Julia
The Proposal package for LaTeX
OJS plugins for running the Mind Research Repository
datasets and literature for the class 'mathematical aspects of machine learning'
Code for nonparametric continuous latent variable priors / automatic dimensionality determination
Julia extensions to provide high performance computational support
OJS_CMDI_MODS_plugin
LLM Chain for answering questions from documents with citations
Fork of the ProGen models
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.