ryanji Goto Github PK

acl-18

acl2017-non-factoid-qa

Code for paper "End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights"

bayesianpsychometricmodeling

Course Materials for Bayesian Psychometric Modeling

boot-mlm-es-supp

Supplemental Material for "Bootstrap confidence intervals for multilevel standardized effect size"

canvas_api_examples

Examples of using the Canvas API with Scripts and Oauth2 along with how LTI might fit into the mix

canvasapi

Python API wrapper for Instructure's Canvas LMS

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

deeplearning-nlp2018

UBC Deep Learning for Natural Language Processing Course

detecting_fake_news

Detecting Fake News with 52,000 article with %97 Accuracy

firstone

First R package to check the functionality of the hello function

hran

la-od-hackathon-3.0

libr559cwi2018

Baic Python Programming

lta_with_mplus_and_r

Codes for LTA learning exchange session based on R package {MplusAutomation}

machine-learning-101

A repository related to datasets for Machine Learning.

mimic-workshop

Introduction to MIMIC-III, the Critical Care Database

mplusautomation

The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.

muffin-cupcake

classifying muffin and cupcake recipes using support vector machines

nlp-text-mining-working-examples

Full working examples with accompanying dataset for Text Mining and NLP. Current code base: Gensim Word2Vec, Phrase Embeddings, Keyword Extraction with TF-IDF and SKlearn, Word Count with PySpark

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

psychometrics

This repository shows the R functions for implementing various psychometric tasks.

publish

r

r_codes_for_statistical_analysis

This repository achieved R codes for my studies.

r_intro

code for R intro workshop at UBC

stat545

UBC grad course in data analysis with R

systematic-reviews

text_analytics

python codes include topic modeling, random forest, word embedding for LIBR599C course project

textclassification

several methods for text classification