hyunjimoon Goto Github PK

15083pj

2018_2_stem_techsquare

2018_2_STEM_TechSquare, 2018.11.17, 14:00 - 17:00, Bayesian in Machine Learning:
 Probabilistic Programming with Stan

2018_paper_time-unit-clustering

Bayesian Time Series for Time unit models

2019_course_learningfromdata_snu

24_transpo

https://web.mit.edu/1.041/www/schedule.html class codes

adj-laplace-approx-paper

autogp.jl

Automated Bayesian model discovery for time series data

cmdstan

CmdStan, the command line interface to Stan

cmdstanpy

CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.

cmdstanr

CmdStanR: the R interface to CmdStan

customfunc

dataindm

Workflow iteration starting from 15.879

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

defense-reliability

docs

Online documentation for Stan language and platform

example-models

Example models for Stan

gen-quickstart

Gen learning material as Jupyter notebooks

gen.jl

A general-purpose probabilistic programming system with programmable inference

git-sig-example

scsc git 시그 예시

gojs

JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.

hamiltorch

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

helloworld

introduction_to_ml_with_python

"파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드

inventory_project

laplace_manuscript

Computer code used for the paper on HMC and the embedded Laplace approximation.

learning-space

lift_dynamics

machinelearning

Study ML

machinelearning-1

manifold-sampling