Pinned Repositories
dhammack.github.io
Build a Jekyll blog in minutes, without touching the command line.
DSB2017
Code for 2nd place solution to the 2017 National Data Science Bowl
hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
ml
Implementations of various machine learning algorithms.
MNIST_unsup
MNIST unsupervised learning
NLP_assignment1
Programming assignment 1 from the Coursera course taught by Michael Collins
NLP_assignment3
Code and support materials/data for programming assignment number 3 for the Coursera course "Natural Language Processing," taught by Michael Collins.
RBFnet
RBF Network using Theano, climin, and sklearn.
Word2VecExample
An example application using Word2Vec. Given a list of words, it finds the one which isn't 'like' the others - a typical language understanding evaluation task.
dhammack's Repositories
dhammack/DSB2017
Code for 2nd place solution to the 2017 National Data Science Bowl
dhammack/Word2VecExample
An example application using Word2Vec. Given a list of words, it finds the one which isn't 'like' the others - a typical language understanding evaluation task.
dhammack/RBFnet
RBF Network using Theano, climin, and sklearn.
dhammack/ml
Implementations of various machine learning algorithms.
dhammack/NLP_assignment3
Code and support materials/data for programming assignment number 3 for the Coursera course "Natural Language Processing," taught by Michael Collins.
dhammack/MNIST_unsup
MNIST unsupervised learning
dhammack/NLP_assignment1
Programming assignment 1 from the Coursera course taught by Michael Collins
dhammack/dhammack.github.io
Build a Jekyll blog in minutes, without touching the command line.
dhammack/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
dhammack/NLP_assignment2
Programming assignment 2 from the course Natural Language Processing taught on Coursera by Michael Collins
dhammack/NLP_assignment4
Programming assignment 4 for the course Natural Language Processing taught by Michael Collins through Coursera.
dhammack/prml
Some IPython notebooks based on Bishop's "Pattern Recognition and Machine Learning" book