cherakhan Goto Github PK

-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

bayeschemeng

Bayesian inference for costly experiments, with multiple different settings (design variables) and few repetitions. With a focus on chemical engineering context / kinetic parameter estimation.

bayesian_intro

Self-study materials to give you an introduction to Bayesian inference with python

bayesianestimation

A practical study on bayesian estimation using Kalman Filter (Linear and Extended) and Particle Filter (SIR)

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bios6301

Biostatistics 301: Introduction to Statistical Computing

bmeg310_2021

chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

cherakhan.github.io

cobratoolbox

The COnstraint-Based Reconstruction and Analysis Toolbox

convolutional-networks

Various conv nets using TensorFlow, Keras, or other tools

d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

darc-experiments-matlab

Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design

data_science_in_biology

projects using galaxy, python, linux command line to analyze sequencing data

design_for_copula

Bayesian sequential design for Copula models

dt-qp-project

This project solves linear-quadratic dynamic optimization (LQDO) problems using direct transcription (DT) and quadratic programming (QP)

dynamicexperimentaldesign

Optimal dynamic experiments

ekfukf

EKF/UKF toolbox for Matlab/Octave

embl-single-cell-course-2016

Material for lecture at the EMBL Single Cell Course 2016

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

feature-selection-using-reinforcement-learning

Feature selection as reinforcement learning problem and performance comparison with traditional feature selection methods

flip-angle-design-toolbox

Tools for designing optimal flip angle schemes for hyperpolarized carbon-13 MRI