Name: Laurel Lord
Type: User
Company: Harrisburg University of Science and Technology
Bio: Current HU Data Science Ph.D. Candidate and Research Fellow~ HU Google DSC Member ~
Personal motto: Collect, Explore, Explain
Location: Harrisburg, PA, USA
Blog: https://www.linkedin.com/in/laurel-lord-49155a49/
Laurel Lord's Projects
A database of conjugated Spanish verbs created by Fred Jehle and compiled by @ghidinelli
Txt files containing all french adjectives, adverbs, conjunctions, determiners, nouns, prepositions, pronouns, verbs and their gender, types and conjugations
A collection of over 1.5 Million tweets data translated to French, with their sentiment.
How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset
This is the official repository for the Girl Develop It website.
GeoLIWC website
python toolbox for visualizing geographical data and making maps
A RESTful API for submitting standard HTML form data to a GitHub-hosted CSV.
Creating interactive visualizations with Python
Collaborative data curation for Glottolog
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
PYGHack Project
TreeHacks 2016 Submission - (Winner! Wolfram Alpha Prize)
Explorative multivariate statistics in Python
Marker tracking using the front-facing camera of HoloLens (both 1 and 2) and Unity, with a wrapper of ARToolKit built for UWP (Windows Universal Platform)
Tutorial for HTML and CSS
A brazen two-column theme for Jekyll.
introduction to text analytics in python training for odsc west 2018
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Irish Dependency Treebank
:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby
Using CNN for rumor detection
A content-first, sliding sidebar theme for Jekyll.
Topic modeling with latent Dirichlet allocation using Gibbs sampling
A PureScript, browser-based implementation of LDA topic modeling.
tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
学习 TensorFLow 线性&逻辑回归 多层感知机 神经网络 自编码 循环神经网络 优化记录