cherakhan Goto Github PK
Name: Ali
Type: User
Name: Ali
Type: User
practice
Optimal Transport for Dummies - Code, slides and article
Approximate Bayesian Computation - Sequential Monte Carlo implementation
A series of 4 toy problems to demonstrate the utility and function of likelihood-free Bayesian inference, Approximate Bayesian Computation (ABC)
Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"
Pytorch implementation of Bayesian physics-informed neural networks
Code related to Bayesian inference and MCMC
Introductory overview of Bayesian inference
Bayesian inference for costly experiments, with multiple different settings (design variables) and few repetitions. With a focus on chemical engineering context / kinetic parameter estimation.
Self-study materials to give you an introduction to Bayesian inference with python
A practical study on bayesian estimation using Kalman Filter (Linear and Extended) and Particle Filter (SIR)
Homepage for STAT 157 at UC Berkeley
Biostatistics 301: Introduction to Statistical Computing
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
The COnstraint-Based Reconstruction and Analysis Toolbox
Various conv nets using TensorFlow, Keras, or other tools
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design
projects using galaxy, python, linux command line to analyze sequencing data
Bayesian sequential design for Copula models
This project solves linear-quadratic dynamic optimization (LQDO) problems using direct transcription (DT) and quadratic programming (QP)
Optimal dynamic experiments
EKF/UKF toolbox for Matlab/Octave
Material for lecture at the EMBL Single Cell Course 2016
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 as reinforcement learning problem and performance comparison with traditional feature selection methods
Tools for designing optimal flip angle schemes for hyperpolarized carbon-13 MRI
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.