ebilionis
Professor at Purdue University, worked in MCS Division, Argonne National Lab, Ph.D. in Applied Mathematics (Cornell).
School of Mechanical Engineering, Purdue UniversityWest Lafayette, IN, USA
ebilionis's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
BVLC/caffe
Caffe: a fast open framework for deep learning.
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
SheffieldML/GPy
Gaussian processes framework in python
dfm/extending-jax
Extending JAX with custom C++ and CUDA code
PredictiveScienceLab/uq-course
Introduction to Uncertainty Quantification
PredictiveScienceLab/data-analytics-se
ME 539 - Introduction to Scientific Machine Learning
PredictiveScienceLab/pysmc
Sequential Monte Carlo working on top of pymc
modusdatascience/choldate
Somewhat fast updating and downdating of Cholesky factors in Python
PredictiveScienceLab/py-design
Design of random experiments in Python
PredictiveScienceLab/py-mcmc
A simple MCMC framework for training Gaussian processes adding functionality to GPy.
PredictiveScienceLab/py-orthpol
Construct orhogonal polynomials using Python
PurdueMechanicalEngineering/me-297-intro-to-data-science
Introduction to Data Science for Mechanical Engineers
ebilionis/py-kle
Karhunen-Loeve Expansions for Gaussian Random Fields in Python
PredictiveScienceLab/advanced-scientific-machine-learning
ME 697 - Advanced Scientific Machine Learning
PredictiveScienceLab/inverse-bgo
Use Bayesian Global Optimization to solve inverse problems
PredictiveScienceLab/variational-elliptic-SPDE
PredictiveScienceLab/pift-paper-2023
Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation
ebilionis/variational-reformulation-of-inverse-problems
Code accompanying the paper: Variational Reformulation of Bayesian Inverse Problems, by. Tsilifis P., Bilionis I., Katsounaros I. and Zabaras N.
PredictiveScienceLab/py-bgo
An implementation Bayesian global optimization in Python
ebilionis/py-best
Bayesian Exploration Statistical Toolbox
PredictiveScienceLab/cluster-opt-bgo
Bayesian Global Optimization for Minimum Energy Cluster Identification
PredictiveScienceLab/py-aspgp
ebilionis/principal-agent-systems-engineering
Computation of Optimal Contracts for Systems Engineering
ebilionis/pymc
NOTICE: master branch now contains PyMC 3 code. PyMC 2 is in branch 2.3.
PredictiveScienceLab/orthojax
Orthogonal polynomials (polynomial chaos) in Jax.
PredictiveScienceLab/pslab
Documentation on the labs codes
PurdueMechanicalEngineering/me270
ME 270 - Basic Mechanics I (Statics)