louissmit Goto Github PK

aauva

Autonomous Agents UvA course

bayesianrnn

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

cfuva

Computational Finance lab UvA

distributed-word-clustering

Distributed word clustering clojure implementation of http://mt-archive.info/ACL-2008-Uszkoreit.pdf

imms

Intelligent Multimedia Systems lab assignment

iruva

Information Retrieval lab course University of Amsterdam

mllab

Lab for machine learning

mocha

mocha - simple, flexible, fun javascript test framework for node.js & the browser. (BDD, TDD, QUnit styles via interfaces)

mongoose-auth

User authentication plugin for mongoose nodejs orm

natural-logic

http://arxiv.org/pdf/1406.1827v1.pdf

neuralslimevolley

Neural Slime Volleyball

nips2015_vrnn

nn

optim

A numeric optimization package for Torch.

phantomjs-mocha-cobertura

script for running mocha tests in PhantomJS with coverage reports in Cobertura

probabilistic-backpropagation

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

pytorch-maxconvolution-extension

Custom implementation of Corrleation Module

recipesproject

UvA AI project

rnn

Recurrent Neural Network library for Torch7's nn

rootsystem

sensor project

sslp

Statistical Structure in Language Processing UvA course

svvr

Scientific Visualization and Virtual Reality projects

torch-rnn

Efficient, reusable RNNs and LSTMs for torch

torch7

http://torch.ch

vbnn

Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)