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Paula Lauren's Projects

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs224d icon cs224d

Deep Learning for Natural Language Processing in Stanford

datasci_course_materials icon datasci_course_materials

Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

deep-learning icon deep-learning

Deep Learning Reading List of some of the materials i found on the web for Deep Learning beginners.

deeplearningmovies icon deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dlnlp icon dlnlp

Code for Stanford CS224d: Deep Learning for Natural Language Processing

document2vec icon document2vec

Finding document vectors from pre-trained word2vec word vectors

elm icon elm

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

emoji icon emoji

emoji terminal output for Python

evals icon evals

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

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