hdubey Goto Github PK

matmtl

Multi Task Learning Package for Matlab

matplotlib

matplotlib: plotting with Python

meanshift_matlab

A mean-shift clustering implementation for MATLAB/Octave

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

mini-segmenter

Lightweight lexicon/dictionary based Chinese text segmenter

mitie

MITIE: library and tools for information extraction

mixest

MixEst: A MATLAB toolbox for mixture-model parameter estimation

mlcd

MLCD at Hopkins

mlcd_proj

mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

mnist_generative

Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.

mooc-setup

Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course

mos-transformation

Implementation of MOS-transformation to be used with Rank based statistical techniques.

mozi

Deep Learning Package base on Theano

mpower

ResearchKit app studying Parkinson's disease, developed by Sage Bionetworks and University of Rochester.

msda-denoising

Using a very fast denoising autoencoder

myvagrant

edX: Introduction to Big Data with Apache Spark

nean-1-presentation-angular-express

Angular based presentation presented for Singapore NeAn Developer Group Meetup #1

ner-lstm

Named Entity Recognition using multilayered bidirectional LSTM

netlab

A C++ neural network libray for sequences mainly, focusing on Long Short-term Memory (LSTM) and Restricted Boltsmann Machine (RBM) Layers.

netron

Visualizer for neural network, deep learning and machine learning models

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

nlp-class

The programming assignments for natural language processing class of Stanford University.

nlp-with-python

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

nn

nolearn

scikit-learn compatible neural network library

npbayeshmm

Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.

oc_svm

One-Class SVM implementations for temporal segmentation of human activities

oct2py

Run M Files from Python - GNU Octave to Python bridge