Pinned Repositories
aspect-sentiment
CS224D course project
aws_scripts
Repository of useful scripts and instructions for using AWS
BassGenerator
Bios8366
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
Capstone_seq2seq_data
collecting results from seq2seq experiments
coursera-ml
Andrew Ng's Coursera ML coding exercises and notes
CS224n_assignment_1
Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
LSAT
Solving LSAT Logic Puzzles
TreeLSTM-1
An attempt to implement the TreeLSTM in Theano
BillVanderLugt's Repositories
BillVanderLugt/LSAT
Solving LSAT Logic Puzzles
BillVanderLugt/aws_scripts
Repository of useful scripts and instructions for using AWS
BillVanderLugt/Bios8366
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
BillVanderLugt/Capstone_seq2seq_data
collecting results from seq2seq experiments
BillVanderLugt/CS224n_assignment_1
BillVanderLugt/Facebook-Messenger-Bot
Facebook chatbot that I trained to talk like me using Seq2Seq
BillVanderLugt/fraud-detection
BillVanderLugt/galvanize-capstone-project
NLP Analysis of Washington State Supreme Court Opinions for my capstone project at Galvanize
BillVanderLugt/Galvanize-Capstone-Project-1
A generative RNN-LSTM Deep Learning Model trained on Bach's Fugues and Preludes.
BillVanderLugt/gensim
Topic Modelling for Humans
BillVanderLugt/intro-spacy-nlp
An introduction to using spaCy for NLP and machine learning
BillVanderLugt/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
BillVanderLugt/lectures
Oxford Deep NLP 2017 course
BillVanderLugt/models
Models built with TensorFlow
BillVanderLugt/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
BillVanderLugt/probabilistic-programming-intro
Introduction to probabilistic programming using PyMC3
BillVanderLugt/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
BillVanderLugt/pythonrouge
Python wrapper for evaluating summarization quality by ROUGE package
BillVanderLugt/recurrentshop
Framework for building complex recurrent neural networks with Keras
BillVanderLugt/seq2seq
Sequence to Sequence Learning with Keras
BillVanderLugt/seq2seq_model_live
BillVanderLugt/slides
Slide Decks for Denver Data Science Day
BillVanderLugt/spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
BillVanderLugt/spark-install
Installation guide for Apache Spark + Hadoop on Mac/Linux
BillVanderLugt/spark-talk
Materials for Spark talk at Big Data & Analytics Learning Series
BillVanderLugt/tensorflow
Computation using data flow graphs for scalable machine learning
BillVanderLugt/textacy
higher-level NLP built on spaCy
BillVanderLugt/tflearn
Deep learning library featuring a higher-level API for TensorFlow.
BillVanderLugt/web_app
using templates from Bootstrap
BillVanderLugt/WhileMyMCMCGentlySamples
my blog