ziwei-utc Goto Github PK

lstm-1

基于LSTM神经网络的时间序列预测

ml-for-beginners

12 weeks, 24 lessons, classic Machine Learning for all

mlstm-fcn

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

penguin-project

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

rmarkdown-book

R Markdown: The Definitive Guide (published by Chapman & Hall/CRC in July 2018)

rmd4sci

Rmarkdown for Scientists

rticles

LaTeX Journal Article Templates for R Markdown

sbinn

SBINN: Systems-biology informed neural network

sbinns

scoringenginedemo.jl

Demo of a scoring engine. From data wrangling to model serving on docker

scratchml

Implementation of Machine Learning algorithms from scratch in Python

seankross.github.io

My Blog

semilleroapps

:iphone: Apps en Shiny desarrolladas por el Semillero de R de la Universidad Nacional de Colombia sede Medellín

sharing-short-notice

Repo for the RStudio webinar "Sharing on Short Notice: How to Get Your Teaching Materials Online with R Markdown"

slides

slides-1

Collection of slide decks

slides-starting-rmarkdown

stat453-deep-learning-ss20

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

statistical_inferences

Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens

statistics-101

Shiny app to compute probabilities for the main probability distributions. See https://antoinesoetewey.shinyapps.io/statistics-101/

statistics-201

Shiny app to perform statistical inference on mean(s), proportion(s) and variance(s). See https://antoinesoetewey.shinyapps.io/statistics-201/

statistics-202

Shiny app for simple linear regression by hand and in R. See https://antoinesoetewey.shinyapps.io/statistics-202/

stats205

Introduction to nonparametric statistics

stock-market-prediction

Stock Price Prediction using CNN-LSTM

svm-r-markdown-templates

This is my (deprecated) suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. DOWNLOAD {stevetemplates} INSTEAD.

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

the-art-of-command-line

Master the command line, in one page