Pinned Repositories
-test-repo-
201511Coursera-Command-Line
practice
2017-ot-beginners
Optimal Transport for Dummies - Code, slides and article
ABC
Approximate Bayesian Computation - Sequential Monte Carlo implementation
abc-toy-problems
A series of 4 toy problems to demonstrate the utility and function of likelihood-free Bayesian inference, Approximate Bayesian Computation (ABC)
Adaptive-Soft-Sensor-Design
Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"
B-PINNs
Pytorch implementation of Bayesian physics-informed neural networks
bayes
Code related to Bayesian inference and MCMC
bayes_tutorial_2019
Introductory overview of Bayesian inference
sequential_design
Sequential Experimental Design for Functional Response Experiments
cherakhan's Repositories
cherakhan/sequential_design
Sequential Experimental Design for Functional Response Experiments
cherakhan/-test-repo-
cherakhan/B-PINNs
Pytorch implementation of Bayesian physics-informed neural networks
cherakhan/BMEG310_2021
cherakhan/chemical_vae
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
cherakhan/cherakhan.github.io
cherakhan/Design_for_Copula
Bayesian sequential design for Copula models
cherakhan/ekfukf
EKF/UKF toolbox for Matlab/Octave
cherakhan/experiment-design
自己写的最优实验设计程序包（model based design of experiment for state-delay differential syustem) 。运行Main_case_4.m即可
cherakhan/hado-sim
An Bayesian optimal experimental design framework to discriminate between active learning models in Cognitive Science
cherakhan/harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
cherakhan/iCardio
Code associated with the iCardio publication
cherakhan/Laplace_based_sequential_design_algorithms
cherakhan/latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
cherakhan/Learning-Based-MPC
Learning-Based Model Predictive Control (LBMPC)
cherakhan/lwpls
Locally-Weighted Partial Least Squares (LWPLS)
cherakhan/mars
Discovering novel cell types across heterogenous single-cell experiments
cherakhan/optimal-design
Code to compute Optimal Experimental Design as in Balietti, Klein & Riedl (2020)
cherakhan/PA_RA_Gs
cherakhan/Particle_Filter
MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filter for an application to terrain-referenced navigation.
cherakhan/pytorch-domain-adaptation
A collection of implementations of adversarial domain adaptation algorithms
cherakhan/SCOT
Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
cherakhan/seqbed
cherakhan/sls
Implements stochastic line search
cherakhan/t-cell-relation-extraction
Literature mining for T cell relations
cherakhan/Teaching_Optimal_Transport
Repo for the course "Optimal Transport" at ENSAE Paris.
cherakhan/training-material
A collection of Galaxy-related training material
cherakhan/uot
The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".
cherakhan/visualize_pytorch_optimizers
cherakhan/xPINNs
when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/10.1016/j.cma.2022.115346