minghao2016 Goto Github PK
Name: Ming Hao
Type: User
Bio: Applied Bioinformatics and Chemoinformatics 4 Drug Discovery (ABC4D)
Name: Ming Hao
Type: User
Bio: Applied Bioinformatics and Chemoinformatics 4 Drug Discovery (ABC4D)
Predict conversion rate and generate ideas to improve conversion rate
A Julia package for disciplined convex programming
This is a package for detecting the convexity of noisy functions. More specifically, given a sample function that can only be evaluated with noise (e.g. output of a simulation model), the MAIN script is able to return estimates of the posterior probability that the function is convex after each iteration of sampling.
Disciplined Convex Programming in R using Convex.jl.
Implementation of statistical models to analyze time lagged conversions
Computes affinity between two entities based on their co-occurrence
This repo carries R script for publication of CooccurrenceAffinity package. The installable package of CooccurrenceAffinity is in a different repo.
cookiecutter template for molecular dynamics projects with GROMACS and Plumed
A cool place to store your Hi-C
Software for macromolecular model-building
this is the repo for storing my review notes regarding conformal prediction
Core Hunter 3: a flexible core subset selection tool
CorEx or "Correlation Explanation" constructs a hierarchy of maximally informative representations of complex data.
protein interface prediction method
Elastic Net for Dichotomised Outcomes
The coronavirus dataset
An R corpus class for tokenized texts
:link: Methods for Correlation Analysis
A Python package to calculate, visualize and analyze correlations maps of proteins.
R package for exploring correlations
COSMO optimization of parameters to modelling solvation free energies
A lightweight multivariate pattern analysis (MVPA) toolbox in Matlab / Octave
Convex Over and Under Envelopes for Nonlinear Estimation
State space model + data pipeline to generate counterfactual time series trajectories on multiple clinical signals, used to evaluate the utility of counterfactual features in sepsis prediction
吴恩达老师的机器学习课程个人笔记
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Data Analysis and Statistical Inference, Duke University
University of Washington
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
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.