Bollegala
Professor in Computer Science. University of Liverpool, UK. Natural Language Processing, Machine Learning, and Data Mining researcher.
University of Liverpool / University of TokyoUnited Kingdom
Bollegala's Stars
keras-team/keras
Deep Learning for humans
google/leveldb
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
BVLC/caffe
Caffe: a fast open framework for deep learning.
terryum/awesome-deep-learning-papers
The most cited deep learning papers
VowpalWabbit/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
chainer/chainer
A flexible framework of neural networks for deep learning
karpathy/neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
andersbll/deeppy
Deep learning in Python
google-deepmind/rc-data
Question answering dataset featured in "Teaching Machines to Read and Comprehend
spaghetti-source/algorithm
C++ Implementation of Algorithms (aka. Spaghetti Source)
miso-belica/jusText
Heuristic based boilerplate removal tool
klb3713/sentence2vec
Tools for mapping a sentence with arbitrary length to vector space
rakuten-nlp/rakutenma
Rakuten MA - morphological analyzer (word segmentor + PoS Tagger) for Chinese and Japanese written purely in JavaScript.
btgraham/SparseConvNet-archived
Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.
neubig/nmt-tips
A tutorial about neural machine translation including tips on building practical systems
julianser/hed-dlg-truncated
Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)
lisitsyn/tapkee
A flexible and efficient С++ template library for dimension reduction
mila-iqia/blocks-examples
Examples and scripts using Blocks
0joshuaolson1/lstm-g
An implementation of a generalized version of the Long Short-Term Memory neural network architecture and algorithm, one of the most powerful supervised machine learning methodologies
travisbrady/word2phrase
Python port of Mikolov's word2phrase.c from the word2vec toolkit
turian/textSNE
2-d visualization of high-dimensional input: Python code for rendering t-SNE code with text labels for each point
oir/deep-recurrent
Deep bidirectional recurrent net for opinion mining (code for EMNLP14 paper)
bravegag/eigen-magma
A fork of Eigen 3.2 to use MAGMA (GPU & CPU) as backend in the same way it does with Intel MKL.
karlmoritz/bicvm
BiCVM Code
hassyGo/paragraph-vector
paragraph vector trained by negative sampling
strohel/Ceygen
Cython helper for linear algebra with typed memoryviews built atop of Eigen C++ library
rteammco/spherical-k-means
Spherical k-means implementation in Matlab and C++ (with multithreading). The spherical k-means algorithm is used to automatically group text documents into a set of k clusters. Machine learning, data mining.
Philip-Bachman/NN-Python
The useful and used parts of NN-Dropout
LivNLP/pivot-selection
pivot selection methods
smurakami/polygamous_stable_marriage_problem
一対多型の安定結婚問題のpythonによる実装