Pinned Repositories
active_learning_cell_free
Scripts to perform active learning as described in the referenced article.
BayesianNetworks.jl
Implementation of Bayes Nets and accompanying data types in idiomatic Julia. Follows Daphne Kollers Probabilistic Graphical Models lecture.
Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
distributions
Distributions related code for Python and numpy/scipy
GPJax
Gaussian processes in JAX.
kameleon_rks
Random kitchen sink version of Kameleon MCMC
rkhs_demo
RKHSs in machine learning - presentation script
Rpository
Library and Open Journal Systems plugin for creating CRAN-like R repositories
RpositoryBlock
Display Rpository information (PID, direct package link)
ingmarschuster's Repositories
ingmarschuster/rkhs_demo
RKHSs in machine learning - presentation script
ingmarschuster/kameleon_rks
Random kitchen sink version of Kameleon MCMC
ingmarschuster/Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
ingmarschuster/distributions
Distributions related code for Python and numpy/scipy
ingmarschuster/GPJax
Gaussian processes in JAX.
ingmarschuster/active_learning_cell_free
Scripts to perform active learning as described in the referenced article.
ingmarschuster/covasim
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
ingmarschuster/datset
Datasets, posteriors, gradients for Python experiments with Monte Carlo/Optimization methods
ingmarschuster/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
ingmarschuster/flax
Flax is a neural network library for JAX that is designed for flexibility.
ingmarschuster/gfl
A fast and flexible algorithm for solving the graph-fused lasso
ingmarschuster/gptchem
Chemical property prediction in the low data limit using GPT
ingmarschuster/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
ingmarschuster/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
ingmarschuster/KCEF
Kernel Conditional Exponential Family
ingmarschuster/LaTeX-proposal
The Proposal package for LaTeX
ingmarschuster/Lecture_Monte_Carlo
ingmarschuster/MindResearchRepository
OJS plugins for running the Mind Research Repository
ingmarschuster/ml_sandbox
datasets and literature for the class 'mathematical aspects of machine learning'
ingmarschuster/ModelSelection
Code for nonparametric continuous latent variable priors / automatic dimensionality determination
ingmarschuster/paper-qa
LLM Chain for answering questions from documents with citations
ingmarschuster/progen
Fork of the ProGen models
ingmarschuster/py-smc2
Automatically exported from code.google.com/p/py-smc2
ingmarschuster/pymc3
Probabilistic Programming in Python. Uses Theano as a backend and includes the NUTS sampler.
ingmarschuster/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
ingmarschuster/smcdss
Automatically exported from code.google.com/p/smcdss
ingmarschuster/sobol_seq
python implementation of Sobol' sequence generator
ingmarschuster/t5x
ingmarschuster/Thesis
ingmarschuster/xcompose
for sharing .XCompose keybindings