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Ingmar Schuster's Projects

bayesiannetworks.jl icon bayesiannetworks.jl

Implementation of Bayes Nets and accompanying data types in idiomatic Julia. Follows Daphne Kollers Probabilistic Graphical Models lecture.

covasim icon covasim

COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions

datset icon datset

Datasets, posteriors, gradients for Python experiments with Monte Carlo/Optimization methods

esm icon esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

flax icon flax

Flax is a neural network library for JAX that is designed for flexibility.

gfl icon gfl

A fast and flexible algorithm for solving the graph-fused lasso

gptchem icon gptchem

Chemical property prediction in the low data limit using GPT

gpy icon gpy

Gaussian processes framework in python

gpytorch icon gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

julia icon julia

The Julia Language: A fresh approach to technical computing.

kcef icon kcef

Kernel Conditional Exponential Family

ml_sandbox icon ml_sandbox

datasets and literature for the class 'mathematical aspects of machine learning'

modelselection icon modelselection

Code for nonparametric continuous latent variable priors / automatic dimensionality determination

paper-qa icon paper-qa

LLM Chain for answering questions from documents with citations

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