namkhanhtran

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

CNN-for-Sentence-Classification-in-Keras

Convolutional Neural Networks for Sentence Classification in Keras

neural-networks-and-deep-learning

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

kaggle-scripts

This is useful scripts from kaggle platform

DeepLearningBook

MIT Deep Learning Book in PDF format

Deep-Semantic-Similarity-Model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

EvaluationMetrics

Code to evaluate cqa runs in the ECML 2016 challenge on reranking questions in community question answering

Kaggle_CrowdFlower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

nn-from-scratch

Implementing a Neural Network from Scratch

rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

wikibrain

The WikiBrain Java library enables researchers and developers to incorporate state-of-the-art Wikipedia-based algorithms and technologies in a few lines of code.

CNN_sentence

CNNs for sentence classification

Answer_Selection

summerschool2015

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

pyltr

Python learning to rank (LTR) toolkit

hierarchical-clustering-java

Implementation of an agglomerative hierarchical clustering algorithm in Java. Different linkage approaches are supported.

vim-config

my vim config to share amongst my machines

deep-qa

Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task

dssm-wemb-theano

Implementing Deep Structured Semantic Model (DSSM) in Theano : Word Embedding Case Study

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

wikipediaminer

An open source toolkit for mining Wikipedia

deepwalk

DeepWalk - Deep Learning for Graphs

LambdaMart

LambdaMart python implementation

Cloud9

Cloud9 is a Hadoop toolkit for working with big data

wikipedia-extractor

Extracts and cleans text from Wikipedia database dump and stores output in a number of files of similar size in a given directory. This is a mirror of the script by Giuseppe Attardi.

deep-learning

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

elianto

Elianto is web framework for the production of human annotated rank-enriched datasets for Entity-Linking and Salient Entity discovery tasks.

dexter

Dexter is a framework that implements some popular algorithms and provides all the tools needed to develop any entity linking technique.

sentence2vec

Tools for mapping a sentence with arbitrary length to vector space